Who Uses This Software?

Fortune 1000 companies, academics, and government agencies that need analytics solutions that streamline the process of gathering, storing, and acting collaboratively on natural language text data.


Average Ratings

47 Reviews
  • 4.5 / 5
    Overall
  • 4 / 5
    Ease of Use
  • 4.5 / 5
    Customer Service

Product Details

  • Starting Price
    $99.00/month/user
    See pricing details
  • Pricing Details
    $99/month Professional, $2000/month Enterprise, Gnip Twitter Data $5/10,000
  • Free Trial
  • Deployment
    Cloud, SaaS, Web
    Installed - Windows
  • Training
    Documentation
    Webinars
    Live Online
    In Person
  • Support
    Business Hours

Vendor Details

  • Texifter
  • texifter.com
  • Founded 2009
  • United States

About DiscoverText

Web-based collaborative text analytics system that allows academics, companies, and governments to schedule fetches from Twitter, import from SurveyMonkey, email, or a spreadsheet, to search, filter, cluster, human-code and machine-classify text. Texifters CoderRank patent focuses on algorithmic techniques analogous to Google's PageRank for web search, but tailored to improve large scale, collaborative text analytics through enhanced machine-learning and the gamification of crowd source coding.


DiscoverText Features

  • Boolean Queries
  • Document Filtering
  • Graphical Data Presentation
  • Language Detection
  • Predictive Modeling
  • Sentiment Analysis
  • Summarization
  • Tagging
  • Taxonomy Classification
  • Text Analysis
  • Topic Clustering

DiscoverText Reviews Recently Reviewed!


Does the work of a team of people in less time

May 04, 2018
4/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Value for Money

Pros: Saves time and energy collecting and analyses survey data automatically, saves manpower poring over documents for details.

Cons: You need to set aside some time to learn how to use it before you start your first project. Definite learning curve

Vendor Response

by Texifter on May 07, 2018

Hello Reviewer, Thanks for taking the time to post this review. We invite every new user to take a 30-minute web meeting with the founder. This usually gets people going on a good path. We would be happy to schedule one if needed. Just email info@texifter.com or visit https://calendly.com/discovertext to schedule a session. Thanks, ~Stu

Great for analyzing social media data- just not offline documents.

Apr 07, 2018
2/5
Overall
2 / 5
Ease of Use
2 / 5
Features & Functionality
3 / 5
Customer Support
5 / 5
Value for Money

Pros: If you need to analyze data from social media and survey monkey- it's a great tool. You can search for content by keywords and the data drops in per the chosen frequency. It breaks down keywords and phrases to a list in order of use- where you can drill into each word or phrase to see where it's used and also toggle between different ways of displaying the results.

Cons: I got the trial version to see if it would suit my purpose; I required a tool to analyze and cluster data from articles and other sources but just couldn't get it to work. If the trial period had been longer than 3 days ( I thought I signed up for 30- it's not very clear) I might have had time to figure it out. Better instructions would have helped. The instructions tell you what the features are, not why you need to use them which is not helpful for novice users.

DiscoverText is unique--it has the best mix of human coding and machine learning I have found.

Apr 06, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
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Pros: The dashboard allows our lab group to see multiple projects at once and keep track of the data feeds so we know how quickly we are collecting data on particular topics. It also has many useful functions like tracking topics over time, data cleaning support, analyzing social media meta-data and exporting data into other tools like NodeXL.

Cons: Most everything is pretty intuitive and support is very fast. My biggest challenge was setting up hierarchical coding schemes, which can be challenging until you create a template that can be reused.

Overall: Combines data collection, human coding, machine coding and then easily exports to other software packages for additional analysis. Saves a huge amount of time.

Vendor Response

by Texifter on April 09, 2018

Dr. Riley, Thanks for the feedback. We really appreciate it. ~Stu

Discovertext is a great tool!It helps you make sense out of messy, unstructured data.

Mar 14, 2018
4/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money

Pros: It is easy to use. It is also fast in clustering and filtering data. I like the word cloud function which gives primary insights about your data.

Cons: I found the advanced filters sometimes to be not accurate. Also, there should be an option of deleting data from a data set. It can get really difficult to create a sub data set without deleting function.

Vendor Response

by Texifter on March 15, 2018

Hi Nurgul, Thanks for the review. It contains a really good suggestion whose time may have arrived. For a variety of reasons, we have never enabled the deleting of items. Instead, we typically use human coding and/or machine-learning to identify items that are not relevant, then we create new buckets and datasets of just the items we want to focus on. The advantage is that you retain all the data and can make the details of the cleaning process transparent to your audience. For example, we collected x Tweets, refined the set to x minus y Tweets, and so on. Also, this method scales up. As you refine the machine-learning relevance model (let's call it a "deletion" model), you can collect larger and larger sets and use machine classification to achieve the same effect as a much more time consuming manual deletion. Having said that, lots of people ask for a delete button and we will put it under consideration as a new feature. Thanks, ~Stu

It is the best software so far for analyzing social media data.

Mar 12, 2018
5/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: This software allows researcher to group data allowing for more fine tuned analysis. really like deduplication of data.

Cons: The deduplication function is only available with the more expensive subscription and yet it is such an integral part of data cleaning.

Overall: Teaching research methods in social media and doing research with my graduate students.

Vendor Response

by Texifter on March 23, 2018

Thanks very much for the review Regina. Let us know if there is anything we can do to help. ~Stu

Our goal was to get a historical tweets and do an linguistic analysis.

Mar 12, 2018
4/5
Overall
2 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money

Pros: - teamwork friendly
- support different types of file extraction
- directly support of Gnip Feed Management
- parallel possibility to work on different project
- support of: Facebooks, LinkedLn

Cons: - just 15 exports could be saved parallel in the system at any given time (so sometimes you need more files to extract parallel)
- exports have just 1 week time of expiration (it is tooooo small)
- don't have command line API

Vendor Response

by Texifter on March 15, 2018

Egor, Thanks for taking the time to write a review. It contains some good ideas, some of which we might be able to act on, but others are beyond our control. The regulation of Twitter exports, for example, is set by the Terms of Service of Twitter. We are specifically barred, as are all vendors, from setting up a command line API to facilitate the process. The save as CSV is a very strict guideline and engineering what you want would result in Texifter losing access to Twitter data. So, it is a "con" of working with Twitter data, not DiscoverText. I'd like to hear more about why you need to store links to more than 15 exports simultaneously. Since you can only create 1/day of 50,000 Tweets, and the purpose is to export it, not store the CSV link in a list inside DiscoverText, why would you need a list of more than 15 links to files? Presumably you have already exported. I have the same question with the duration. Once the data is downloaded, why must the link endure? ~Stu

I applied for a 3 day trial. Discover Text was very quick to get back to me. Very easy to use.

Mar 12, 2018
3/5
Overall
5 / 5
Ease of Use
2 / 5
Features & Functionality
3 / 5
Customer Support
3 / 5
Value for Money

Pros: Platform was very easy to use. Instructional videos and information was very helpful and informative once I found the information I was looking for. Was able to try out many features during the free trial.

Cons: The free trial could have been a bit longer to accommodate busy schedules. Might be better if more instructions or help information was available on the platform itself. Although I was sent a link to some tutorial videos and information, it was sometimes difficult to find the help I was looking for.

Vendor Response

by Texifter on March 20, 2018

Hi Alexandra, I appreciate that you took the time to write a review and we would be happy to extend the trial to accommodate your schedule. We also do web demos upon request. https://calendly.com/discovertext We are somewhat hoping that folks will spend more time working directly with us to get familiar with the tools before offering a review. We work very hard to provide 5-star support. If a support request is generated, you will hear a response the same day, often within 30 minutes. I hope you will give us a chance to show you the 21 top features of DiscoverText, as well as the five pillars of text analytics that define our methodology. ~Stu

Pretty intuitive, lots of features.

Mar 09, 2018
4/5
Overall
2 / 5
Ease of Use
4 / 5
Features & Functionality
1 / 5
Customer Support
4 / 5
Value for Money

Pros: I really like that it offers access to FB text analysis as well as other SNS all in one platform. In addition, the analysis tool, similar to NVivo is nice to have in-house. At the same time, the exporting features can be quite helpful. The platfom is generally easy to navigate and clear.

Cons: The great thing about CH is that they have awesome user support, their base is so big that you can ping the community for help, without needing to go directly through someone at CH. Obviously, this will grow out over time, but in the interim there could be more quick and easy resources and support.

Vendor Response

by Texifter on March 13, 2018

Hi Heather, We appreciate the feedback. It is true that we remain a small startup, whereas there are bigger companies out there with huge budgets and massive user groups. One advantage when using our service is that you can meet directly with the founder to talk about the ways our tools support a variety of basic and applied research scenarios: https://calendly.com/discovertext Unlike some of the market research dashboards, we offer a set of text analytics tools for creating unique samples, collaborative annotation schemes, and unique data science measurements related to human and machine-learning. We have worked hard to document the features of the system: https://texifter.zendesk.com/hc/en-us Generally speaking, we respond to emails the same day and I hope if you keep working with the platform that you will reach out to get any support you need. Thanks, ~Stu

Very useful tool to conduct advanced research

Mar 09, 2018
4/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money
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Pros: The ease of use when it comes to collecting the data. I could collect a very large amount of data in a very short time.

Cons: The advanced search needs more variables. For example I tried to only collect data in English but it wouldn't let me do that even though I was told it was possible.

Overall: It really helped me with my thesis. Had I not have this tool it would have taken me significantly longer to conduct the research.

Vendor Response

by Texifter on March 15, 2018

Hi Margaux, Thanks for taking the time to write a review. In fact, you can create language filters before and after collecting Twitter data and you sometimes need to do both to weed out misclassified data. First, you have to use the Gnip PowerTrack and not the Twitter search API. Language filters are one of the premium Gnip features. Second, even if you use the rule "lang:en" some of the data (maybe a few %) will still be in other languages. In DiscoverText, every account has access to a global classifier which will score every item on the likelihood it is English. Then you can filter out the remaining non-English items. Thanks, Stu

The program did what I needed it to.

Mar 06, 2018
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
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Pros: I liked that the filter function was easy to use. Coding was also easy, and that I could batch code items was a big plus.

Cons: I wish I could also sort based on how I coded the items. I would like to go back to one code and take a look at just those items, and perhaps add another code to them.

Overall: Easy coding of lots of data.

Vendor Response

by Texifter on March 08, 2018

Hi Lynn, Thanks for taking the time to write a review. You in fact can do that and I would be happy to offer a live demo for you: https://calendly.com/discovertext When you are on the Dataset Details page, just click on the bar graph of the coding results or load the Advanced Filters on the list view. Either way will get you to the set of items with that code. You can put them in a bucket for closer analysis. Another option is to do it via reports and a third option is through exports. Thanks, Stu

this is an alternative text analysis for one who doesn't have a programming background. Ease to use

Mar 06, 2018
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money
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Pros: features and layer of filters to get a finite text analysis. I haven't explored much but having diverse options to mine dataset from social media will benefit users overall.

Cons: I'm a student, so cost is the main problem but if I can get grant this would not be a problem anymore

Overall: faster and easier to mine and analysis data from Twitter and Facebook.

Vendor Response

by Texifter on March 07, 2018

Thanks for the review Whisnu. If you get to the end of your 6-month sponsored account and you need more time, let us know. We can support you through the end of your doctoral studies.

Great way to gather and analyze data. A couple times when I was coding the software kicked me off

Mar 06, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
2 / 5
Customer Support
4 / 5
Value for Money
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Pros: The features to manipulate and visualize data are very helpful. I especially like the sifter features like the cloud generator and the ability to display the most used single, biad, or triad terms. The meta data tools are also excellent!

Cons: It sometimes glitches. I thought my login may have timed out, so I returned to the login page but I was still logged in. I returned to my batch coding process and it took a while to pick back up where I left off. Sometimes the processing speed is slow (which is understandable, though, with large amounts of data)

Overall: I have already recommended this to a classmate working on a similar project. This software has enabled me to gather historical twitter data from several months ago which is not possible with most other software.

Vendor Response

by Texifter on March 07, 2018

Hi Katie: Thanks for the review. We really appreciate the feedback. I see you might be in need of some customer support. We love to work one on one with customers via web meetings. They are fun and usually both sides learn great things. Let me know if you want to chat: https://calendly.com/discovertext ~Stu

My experience with DiscoverText has completely changed the way in which I conduct twitter analysis.

Mar 03, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: This software makes the process of Twitter analytics infinitely easier. Coming from using prior methods such as custom algorithms developed in Python, DiscoverText enables me to mine data without any of the technical issues that I would typically encounter whilst developing my own mining algorithm! Once you set up a stream in DiscoverText, you can automate the mining so it will mine the data as often as you would like it without you needing to continually intervene and manually restart the process. Everything is done on the online platform which means no more nights of leaving my computer on as the algorithm scrapes the Twitter API! In addition to this, there is no need to develop further algorithms to structure the data which you obtain from Twitter as DiscoverText saves the tweets in an easy-to-read format suitable for further analysis! When it comes to the analysis, the platform offers great utility in how you can code and annotate the tweets which you mine, making any categorization within datasets infinitely easier and much less time-consuming.

Cons: Whilst the practicality of the software and it's ease-of-us is fantastic, the only issue I would raise with the software is it looks slightly outdated. Despite this not being a huge problem, a nicer looking interface would help take the software to a whole new level!

Overall: As a postgraduate researcher, this software has offered me a completely new alternate to how I will conduct my research into Twitter bots. Whilst I originally planned to mine the data from the Twitter API utilising an algorithm developed in Python, I now plan to use DiscoverText to gather the data which I require for the purposes of my dissertation. The software is extremely intuitive and no technicalities are involved, unlike the Python route! To mine Twitter data, you simply open a stream after creating a project and highlight what queries you want the platform to mine and save them onto the online platform. The data which you have then mined comes in a completely understandable format in comparison to an algorithm where the data will be unstructured! This will save me an astounding amount of time for my dissertation as everything I want to do and more comes as standard with DiscoverText.

With my research requiring a heavy amount of annotation, the features offered on DiscoverText for annotating and coding tweets will be perfect for me to be able to identify Twitter accounts which are bots and add comments as to why I have identified those accounts in particular! I wouldn't have been able to do any of this as easily if I were using Python alongside a program such as Microsoft Excel as there are no appropriate ways that I would be able to annotate that data clearly. So not only does DiscoverText cut down the amount of time it takes for me to conduct Twitter analytics, it completely revolutionizes how I can conduct that research in the first place and this offers me a host of new possibilities!

In addition to this, any annotations you have made can be exported so any notes you have made are available for future use once the projects over!

Vendor Response

by Texifter on March 07, 2018

Thanks-you reviewer for sharing such a detailed report on your experience. It is incredibly gratifying to have you in the ecosystem. If there is anything we can do to assist with the dissertation, always feel free to reach out: https://calendly.com/discovertext

DiscoverText is a great tool for collecting, sorting, and analyzing data

Feb 25, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: DiscoverText is a great tool for collecting, sorting, and analyzing data. The platform allows for collection of data from various networks, such as Twitter. I mainly use the platform for coding and machine-classification of tweets. The import feature allows for integration between DiscoverText and other interfaces. For a client project, our data was collected from another toolkit and formatted in an Excel CSV. We were able to import the data into DiscoverText and use the platform to code and machine-classify the tweets.

When working with multiple coders, the platform enables you to quickly and efficiently measure inter-coder reliability, which is helpful to determine validity of codes and which categories may need re-classification.

I also like the export feature, which allows you to export coding/classification reports. The platform produces different visualizations (e.g. pie charts/graphs) of the coding breakdown, or you can export the entire report into another file (such as a CSV).

Overall, I've had a great experience using DiscoverText for both in-class and client research projects. I will continue to use the platform for future research projects, especially the coding and machine-classification functionalities!

Cons: When first using the software, it could be a little difficult for a beginning user to identify where all of the features are located and their specific purpose (e.g. exporting reports, buckets, duplicating a dataset). However, the training sessions, video tutorials, and manuals are very insightful and can help immensely with learning of the new features. As with any new platform, it just takes a bit of time to learn all of the features!

Vendor Response

by Texifter on March 07, 2018

Thanks very much for this detailed review Brittany. As always, if we can do anything to help, drop us a line or schedule a web meeting. Best, ~Stu

Capterra-loader

One of the best interfaces I've worked with, but not without some glitches

Feb 02, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
Likelihood to Recommend: 8.0/10 Not
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Pros: I used it for coding large datasets of tweets. It was great in the way it visually displayed the full tweets along with all of the metadata. It made coding very simple and fast.

Cons: There were a couple of times when I could not access the datasets. The tweets were supposed to be coded by everyone in our group, but it seemed it would not allow me to code tweets that had already been coded by someone else. Also, it is not always clear which tweets were retweets from others versus original content. I had to look very closely in the metadata to try to identify some retweets.

Overall: It made coding tweets much easier than any other platform I've ever seen.

Discovertext has been a great tool for social media data collection and analysis.

Jan 31, 2018
4/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: One of the best things about DiscoverText is that I can collect and analyze data in one place. In addition, I can begin collecting data immediately, which is beneficial for trying to capture consumer sentiment in the moment, as events unfold.

Cons: Long-term data collection can be difficult, as I have not found a way to set up a (automated) data collection for longer than a year.

Vendor Response

by Texifter on February 01, 2018

Dear Reviewer, Thanks for submitting your review. You are correct that the default limit is 100 fetches using the search API. We do this to avoid having lots of unmonitored feeds running perpetually creating massive datasets that we need to store in a commercial cloud. However, if you want to set up a perpetual Twitter fetch, the key is to use the Gnip PowerTrack. As long as you have credits ($7.50/10,000 Tweets), the fetch can run for a year or forever. Please send an email to info@texifter.com if you would like a deeper explanation or a demo. Thanks, ~Stu

using for research

Jan 30, 2018
3/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
3 / 5
Customer Support
3 / 5
Value for Money

Pros: i like that you can go through tweets using only A keyword or two that are necessarily hashtags which make the research part of our project go a bit smoother

Cons: it is difficult to find what you are looking for with all the duplicated tweets, it would be easier if retweets weren't included.

Vendor Response

by Texifter on January 31, 2018

Alexis, The inclusion of retweets in a dataset is a user choice. It is not a feature of the software. There are features for excluding RTs when collecting the data and also for managing them if you do collect them. Further, another feature of the software is to sort all the duplicates, thereby showing the landscape of Tweet virality. You can also sample a single seed from every duplicate group, which has the effect of removing duplicates. I do not recall seeing any requests for support from you. I did, however, make a special trip to your campus to meet with a group of students whose work on the software we sponsored for an extended period of time. I'm scratching my head about this review. Stu

Lots of functions but difficult to use

Jan 29, 2018
4/5
Overall
2 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money

Pros: The function to visualize and filter my Twitter data. The manual for the software is convenient to use.

Cons: Even though the data has a limited time for use, the expiration date of the data is not explicit in the software. The UI of the software is not user-friendly. It is difficult to export data.

Vendor Response

by Texifter on January 30, 2018

Dear Eunji, I'm sorry to hear you had some issues with the interface. We would be happy to do a free web training, extend your license on a gratis basis, and work with you to ensure you get full value out of the data and our tools. I am confident that a 30-45 minute web meeting would allow you to experience the full power of DiscoverText. Please email info@texifter.com if you are interested in this offer of extended support. ~Stu

Cheapest access to Gnip feeds on the market

Jan 29, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros:
1. The cheapest place to get your hands on Gnip data, I've compared 10 services and this is what I have chosen - 75% off for students, can't beat that.
2. The "Swiss Army Knife" of text analysis - it collects, captures, cluster, search Twitter, and have real people coding and conducting sentiment analysis, and conducts machine classifications all in one package.
3. Registering is easy with LinkedIn or Facebook!
4. Lots of trustworthy organizations and associations use DiscoverText, because their founders are not for-profit (they are but they aren't), their customer service is top-notch, very responsive to answering questions and helping me navigate the software.

Cons: The interface is not so intuitive, it's not flashy, but it's like any academic-developed software, you have to look beyond the boring interface and discover the real powers of DiscoverText.

Vendor Response

by Texifter on January 30, 2018

Dear Mélodie, Thank-you for the detailed and enthusiastic review. Good luck with the PhD. ~Stu

Capterra-loader

We have been using the software to study twitter conversations on immigration going back to 2013.

Jan 29, 2018
4/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
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Pros: It's ability to capture tweets and now the capacity to export to NodeXL gives us two tools that we use together to study the content and structure of immigration conversations onTwitter.

Cons: At times navigating the menus is counter-intuitive as is some of the terminology. Archives, buckets, datasets all kind of run into one another.

Overall: Easy data capture

Vendor Response

by Texifter on January 30, 2018

Dear Jim, Thanks for your and the generosity of your Tweets. We really appreciate that! I'd like the opportunity to visit GMU to make the case that archives, buckets, and datasets are essential parts of the text analytics methods we have engineered. Please email info@texifter.com if you would like to host a free workshop. Briefly: - Archives are raw data. - Buckets are subsets of raw data. - Datasets are coded by humans. Most projects proceed from 1 or more archives, to many buckets, to a series of codeable datasets. For example: - Collect 100,000 #metoo tweets - Deduplicate the archive - Create a bucket of seeds and singles - Search the bucket for key terms - Create a new bucket with results - Create a dataset and code it for relevance - Train a relevance classifier - Apply the classifier to new archive samples - Repeat as needed The key point is that raw data is messy in the archives, cleaner in buckets, and fully refined and classified in datasets.

Capterra-loader

Great tools, great service! Use this for study assignments all the time.

Jan 29, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not
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Pros: DiscoverText is super useful when it comes to analyzing and categorizing large datasets. It has all the components one might need for the training of algorithms, made easy for use by a very clear interface.

Cons: Without basic knowledge of data analysis and the handling and organizing of large datasets, the programme might not feel intuitive at first. However, it just takes time to get used to all features.

Vendor Response

by Texifter on January 30, 2018

David, Much appreciated for the nice review. We use the analogy of learning a spreadsheet. At first, there are a few basic things you can do without having to take a class, watch a tutorial, or worst of all, read the manual. If you want to build the most advanced spreadsheets, it probably will not happen on Day 1. The same with DiscoverText. Once you dig in, there is a lot there. If all else fails, send us an email (info@texifter.com) and request a web demo. Best regards and let us know if we can help, ~Stu

Well-priced software which provides a unique and useful service with great customer support

Jan 29, 2018
4/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: I think it's very well-priced compared to similar services offered by other companies. Especially because there is a very generous student discount, which makes the product much more accessible to researchers.

The service itself is really useful, and I haven't come across any other too that has the same functionality and enables you to work on very specific data sets without extensive programming knowledge.

The customer service is absolutely fantastic - very quick, friendly responses that contain very useful information. Go above and beyond the call.

Cons: The documentation isn't as comprehensive or easily accessible as I would like it to be. It's more of an FAQ style, which is hard to navigate and doesn't always contain all the information I need. Would be really nice to have a link to one, single comprehensive document that contained all the information, in addition to FAQs and example videos.

Overall: Without this software, I would not have been able to do my graduate research, as I don't have the necessary programming skills or data analysis skills to answer my research question using a programming language. Discovertext acts as a great in-between service, as it allows me to learn about data analysis and even a bit about programming but also offers me support.

Great way to collect unique/interesting data; however, some technical background required.

Jan 24, 2018
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
2 / 5
Customer Support
4 / 5
Value for Money

Pros: I think the greatest part about DiscoverText is all of the different types of social media data you're able to collect. I've only begun to scratch the surface of the usability of DiscoverText in my research. I also think it's wonderful that this software is "academic friendly" by offering discounted prices for faculty and students.

Cons: If you've never conducted research with social media data, it can be daunting trying to figure out how to get going with the software. There are some "how to" videos to get you started (if you can find them), but I still found them to be above my technical understanding so I've had to pretty much stumble around to use the software correctly. Additionally, I contacted customer support with a question about one of the variables collected from tweets and never received a response.

Vendor Response

by Texifter on January 25, 2018

Thanks for the review and your business Kelley. I went through our email looking for a missed request for help and I am unable to locate one. If you still have a question, I would be happy to schedule a web demo or try to answer it via email. Please email info@texifter.com and we will do everything we can to make sure your project is a success. Please see our support site for complete documentation: https://texifter.zendesk.com/hc/en-us Thanks! ~Stu

DiscoverText helped me a lot for a university project thanks to its versatility and many functions.

Jan 23, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: I like a lot its versability and many functions it offers. DiscoverText is very useful and helpful in analyzing social media, especially I appreciate the way it lets you work with Twitter.

Cons: Maybe what I like the least is the fact that it doesn't exist a guide in Italian that can be consulted to know deeply the various ways you can use DiscoverText.

I just used this software for working in some project in my college, and i will use that again!

Jan 23, 2018
5/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: - Lot of function
- Nice graphics easy to deal with
- Easy coding functions
- Very good integration with various sites and program (like excel)

Cons: - In my language (italian) the automathic coding for the dataset were a bit unprecise
- Sometimes menues can be difficult to use

Overall: I passed an exam working with this software, and i will use it again for my thesis. It's easy to organize all the data and to interact with the various social media.

Vendor Response

by Texifter on January 24, 2018

Thanks for the review Massimiliano. I would be happy to schedule a web meeting to go over some of the ways to improve the performance of the machine classifier. Some of the key tips: - A short code list (2 codes is the best) - A balanced training set - Strategic sampling and training - Coding off a list I wrote an article on LinkedIn about this: http://bit.ly/2F7slNU ~Stu

Capterra-loader

Excellent software and after sales support

Jan 23, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: Discovertext has enabled me, a non-IT specialist, to create, sort and purchase large scale twitter data sets for qualitative academic research. As a platform it is extremely user friendly and intuitive and took very little time for me to become comfortable with. It is also always accessible, I have logged in all over the world and have never had any problems with the platform. However, like all software platforms, the platform is only as good as the after sales support. Thankfully, Discovertext has the best post-sales service of any company I have worked with, they are always accessible and you always get a real human at the end of the phone who knows the software inside and out where else do you regularly get to speak to the founder of the software and the CEO of the company on a regular basis for after sales help. Thus, to me, you can't go wrong with discovertext and I have no complaints.

Overall: Made my research possible, cant overstate how important it has been for me!

Capterra-loader

DiscoverText has a clean user friendly interface that hides some very clever data analysis software

Jan 23, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: I have been using the software for a couple of weeks to help clean and fetch data from Twitter, I really like the ease of use and the ability to code fetch data from Twitter, code the data and use machine learning to make my life easier all in the same programme.

Capterra-loader

For academic research, this is an amazing tool for collecting, sorting, and analyzing data.

Jan 12, 2018
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: -Ease of data collection
-Data analysis and coding
-Ability to sort and manage data
-Amazing customer service and support. If you have a question or issue, someone from the company will walk you through a step-by-step process in order to maximize the function being used.

Cons: -Navigating the user interface could be more intuitive at times. At times, it can be difficult to immediately access a specific set of collected data. However, I have noticed that this issue is mostly resolved when the user's experience and understanding of the program increases.

I chose Discover text to collect Tweets for internal research.

Jan 11, 2018
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money
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Pros: It provides customers good quality of Tweets. The customer support is very good. it is possible tu use Paypal to buy data.

Cons: It should be less complicated. The UI of the product should get improved. They don't provide any kind of contract when customers buy data but they just are able to send an invoice with the costs you have to afford.

Vendor Response

by Texifter on January 24, 2018

Thanks for taking the time to write the review. It is true we do not send out a contract with the purchase of Twitter data access. We do have a simple agreement model: - Three free estimates per day - $25 per day of data retrieval - $7.50 per 10,000 tweets Any Sifter purchase includes 14 days of Enterprise DiscoverText access. This enables up to three users to collaborate on the dataset. If you spend more than $500, we will provide the software free for 30 days for up to five users. All purchases over $1500 come with 60 days of gratis access to the full suite of DiscoverText for up to 10 users. Sifter strictly adheres to the Twitter Terms of Service, the Twitter Rules, the Twitter Developer Agreement and Policy, and the Twitter Privacy Policy. For more information about the Terms of Service, please contact stu@texifter.com.

A perfect tool to explore, collect, search, store, manage, code and classify the Twitter universe.

Jan 03, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: As a social scientist, I lack the computational skills to work with Twitter data. In fact, Im not interested in doing data science, I want to do social science. DiscoverText allows me to collect and analyze large batches of Twitter data. Many of my colleagues spend hours having students copy and paste tweets into the Excel. DiscoverText is a breeze.

Cons: There are a number of different classification algorithms like linear or logistic regression, decision tree, SVM, and random forest. DiscoverText just uses naive bayes. I wish the software allowed for more different types of these algorithms.

Overall: The ability to work with Twitter data.

Vendor Response

by Texifter on January 24, 2018

Thanks for taking the time to write a review. We do have a long term road map that calls for exactly what you are asking for. It is my hope that we can launch a new extension of the platform to host other classifiers. We agree that the inclusion of other approaches would represent an exciting next step in the evolution of the platform. We literally aspire to be the iTunes of machine classifiers ;-) So, I promise it will happen some day. For now, the uClassify engine that we license is working great on all languages and in all sorts of projects. ~Stu

Capterra-loader

Honestly,I can say DiscoverText makes analyzing social data not only easier, but also more enjoyable

Jan 01, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: First, it is so easy to learn and use. Moreover, the DiscoverText founders provided some helpful tutorials and educational videos which are so handy and helpful. This software allows users to makes several datasets of one project. This enables a researcher to work on multi-dimentions of a certain project needless to create different ones. Furthermore, you can create a sample of your data very easily by making a dataset. Its buckets are very interesting also. Additionally, you can make some clouds of data by using cloud explorer feature. Finally, Clustering option is great! it makes working on big data easy and shows the main trends in them quickly.

Cons: As I can say, sometimes users may get confused by many links and pages. So, maybe finding what you want becomes difficult and you have to try some ways. Another con, in my point of view, is the obscurity of metadata meanings and algorithms. I cannot understand what some of the means and how they are calculated. Furthermore, I think some of metadata can be presented in some more useful ways. But at all, I should confess the metadata explorer is a great ability!

Overall: It provides me more opportunities for working on my projects. Using it, I have access to many ways for doing research on social media data which have not before.

Vendor Response

by Texifter on January 24, 2018

Thanks Hossein for an excellent review. We are preparing a new blog post now with a Metadata Dictionary for Gnip Twitter data. We agree that some of the fields are a bit confusing and we hope this new blog post will make the meaning of some of the fields more transparent.

Capterra-loader

I used DiscoverText in a research project to deal with twitter data corpus.

Dec 26, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: 1) Project or data corpus sharing can be very easy. Peers collaboration can be convenient.
2) Options for applying various algorithms.
3) Advanced searching options help me a lot.
4) Detailed meta data representation.

Cons: The software can become a little bit slow during daytime. It can be caused by more usage from users during work time.

DT has been my favorite tool for text coding and data collection for a long time.

Dec 21, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: First, DT is incredibly user-friendly, especially for newbies even those who have never done any textual analysis before. I use DT myself and I trained several coders -- it's easy and straightforward and no confusion. Second, I've done coding using DT in foreign languages like Chinese and Spanish. Again, there's no difference in using the services with other languages. Third, it's convenient to compare coding results among coders and easy to export the files. Fourth, data collection via DT was pretty good as well.

Cons: Depending on where you access DT, sometimes it gets a little bit slower. Also, make sure you export your data often, it won't keep it forever.

Overall: I've done many research projects with this software.

Used DiscoverText for academic research, both for social media and newspaper text analysis.

Dec 19, 2017
5/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: Best features are the easy, very user friendly function for importing and coding social media data, the machine learning function that allows for automated coding of large datasets in a reliable manner and the validating function that ensures intercoder reliability.

Cons: The occasional bug shows up when running search or coding analysis functions but in the five years we've been using DT these instances have been rare and always promptly addressed by the DT team.

Capterra-loader

Superb cloud-based software tool with powerful text analytics with social media integration.

Dec 19, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: The ability for those from the social sciences to be able to import and/or retrieve social media data, including historical data from Twitter, and analyse the data in order to answer research questions. This is because other tools may require a computer science background. Consequently, DiscoverText has been used in answering important social science questions leading to peer reviewed outputs. Over the years I have seen many tools appear and slowly wither away, however, DiscoverText has stood the test of time and has been growing in popularity.

DiscoverText is not limited to academic uses and has a number of neat uses in the commercial world. A useful feature applicable to the commercial domain is the ability to retrieve and/or import data from Twitter and identify influential Twitter users, with the additional ability to use machine learning to sift influential users into different groups. For example, a football club may be interested to find out whether influential users are fans of the club or whether it is opposition fans causing a storm. To the best of my knowledge, no other tool is capable of doing this with this level of accuracy.

Cons: To be fair this is not a limitation of DiscoverText per se, as this is a restriction from Twitter, but there is a limit to how many units of tweets can be exported per day. This is not a major issue because there are enough features in DiscoverText that you may not necessarily need to export the data. This is particularly true with a recent integration with NodeXL which provides the ability to export directly to a format supported by NodeXL.

Overall: It allowed me to conduct research that otherwise would not have been possible including both industry and academic projects.

Easy to use, good data organization, simple interface, great support

Dec 18, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: My master's thesis would not have been possible without DiscoverText! I was able to analyze hundreds of thousands of datum quickly and easily. It was great for data management as well; lots of good query/coding/organization features in here. Any time I ran into an issue, customer support was responsive and awesome. I especially like the integration capabilities with social media data. The interface itself is simple and fairly easy to grasp.

Cons: Not a "con," but it would be cool to see the software incorporate more data visualization features and network-based metrics.

Overall: See the "pros" list--I got my master's degree!

Highly flexible, Incredible service

Dec 18, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: I've been using DiscoverText to analyze lots of short texts (reviews on websites). DiscoverText is not restricted to social media: one can import data from text files or excel spreadsheets to run analyses. I was also able to teach the software how to categorize data using machine learning, with a pre-existing coding grid I had. This is kind of unusual, and I wouldn't have been able to do this without the *fantastic* help from people at DiscoverText. None of my questions was left unanswered, I have not yet bumped into software-related limitations, and the level of support I enjoyed from DiscoverText is hands down the best I ever had.

Cons: It would be great if we could find tutorials, manuals, examples Although DiscoverText is fairly easy for "standard" use, it can do much more, but I couldn't find much in terms of documentation (which is the reason why I had to bug the nice people at DiscoverText ;-)

An extremely reliable and affordable tool to gather and analyze data from social media

Dec 18, 2017
4/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: Extremely and affordable partnership with GNIP for Twitter data. Useful quick quantitative analysis. Great support for collaborative content analysis.

Exceptional experience. DiscoverText makes me a better researcher.

Dec 17, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: Ability to export data from Twitter in a format that people like me (ie, not computer science) can easily access and analyze for research. I research how political journalists and politicians use Twitter and I would have no affordable academic access to the underlying Twitter data without DiscoverText.

Overall: Exports Twitter data in a format that I can work on for research.

Capterra-loader

My experience with DiscoverText has so far been excellent. I am using it for my masters thesis.

Dec 16, 2017
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: The price point is excellent for a student and offers a wide variety of tools for data collection.
The educational videos and written pieces really helped with my initial understanding of the software and how to best utilise it, something I am still in the process of now.

This is a user-friendly software that allows researchers to easily code very large corpora.

Dec 15, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: This is a user-friendly software that allows researchers to easily code very large corpora. Other datasets couldn't easily handle the data. Moreover, it is wonderful for e-rulemaking and public commentary.

Cons: It takes a bit of getting used to if you are segmenting your data into "buckets." After a bit of experimenting we easily began using Textifer!

Overall: I was able to analyze a very large data set.

I've been using DiscoverText since 2012 for research on Twitter.

Dec 15, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: It can handle an enormous amount of data, you can automate the ingestion of feeds within certain dates and the frequency that you decide. You can generate tag clouds and timelines, look for the frequency of a term or any of the meta dat that a tweet has, etc.

Cons: It could be more intuitive, just to say something I think they can easily improve, but it got a lot better in the last months.

I have used DiscoverText for gathering data for qualitative social media analysis

Dec 15, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money
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Pros: It is relatively easy to use and allows to export data into appropriate formats. Data collection is easy to set up.

Cons: The platform was under threat of no longer getting access to the full stream of the Twitter Firehose that is increasing its costs. It would have been a shame had DiscoverText disappeared. Twitter should not close down, but open up access to publicly relevant data.

Capterra-loader

Discovertext is an awesome product with exceptional support.

Dec 14, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: the ability to import data from social media and use machine learning to code this data really sets Discovertext apart from competing products.

Cons: There is a short learning curve to fully understand the power of this software but once you get the hang of it you can really see the power.

Overall: A very powerful research tool for social media research!

Efficient, easy to use and excellent customer service.

Dec 14, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: My introduction to DiscoverText demonstrated how it is an incredibly efficient, user-friendly platform that allows a remote team of coders based around the globe to collaborate and analyze textual data imported from Twitter. That's obviously huge, but DiscoverText has a variety of other advantages that sets it apart, including the ability to upload any text with metadata in a spreadsheet, being able to measure the reliability of coders who work synchronously or asynchronously, being able to rank coders over time (very unique), a "CoderRank" patent that accelerates machine-learning, SurveyMonkey being integrated so you can get data over the API (there's also DiscoverText API), no programming is necessary (just point and click), and above all else, DiscoverText is a platform that offers all of the tools needed to collect, clean, and analyze text data.

Capterra-loader

I've been using it for several years for analyzing customer data and Twitter data.

Dec 13, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money
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Pros: My favorite feature about this software is the fact that it allows multiple coders to easily work on a coding project. So if you have a lot of data, you can load the data on DiscoverText, set up some codes, and have several people work at the same time with coding. It will provide you with a report of what each coder did for how long etc, and also will allow you to export the results.
You can also import data directly from Twitter using the search API. Coders can see the actual tweet when coding, which helps speed up the coding process. You can also export the data to NodeXL in order to generate social graph and calculate social network analysis metrics.
For a fee, it is also possible to get access to GNIP and the entire historical archive of tweets.
DiscoverText is not limited to Twitter, you can import data from other sources (including SurveyMonkey). As a researcher working with Twitter, for me the most valuable tool is the ability to easily create and code a Twitter dataset.

Cons: Sometimes it will let two coders work on the same item if they access the item at the same time. Not allowing this could speed up the process.

Overall: It's easy to create and code a dataset, and it is a particularly useful software to work with a team of coders in the same dataset.

Much easier to code textual datasets than using spreadsheets

Dec 12, 2017
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: Working as an independent consultant, I have had opportunities to help some clients analyze textual data through coding exercises.

The first exercise was to examine customer feedback that had been collected by a weel-known hotel/travel review site. The customer's feedback data was tallied and processed with spreadseets, which was very cumbersome because quite a bit of horizontal scrolling across the spreadsheet's columns was required to enter customer's sentiments about the hotel.

After becoming familiar with DiscoverText, I estimated that the same exercise could probably have been accomplished in half the time. Coding can be designed so that the coders simply have to select a number (e.g., 1 through 5) or from a list of predefined sentiments (e.g., staff was friendly, the hotel was clean, elevator did not work, etc.).

More recently I have used DiscoverText on several projects, including attendee¿s comments about a local music festival, an employee satisfaction survey, and tweets about a clothing and accessories brand.

Cons: The interface takes a little getting used to. I suggest you practice with a small sample dataset before launching into a huge research project.

Overall: Can remove duplicate to reduce the time it takes to code a dataset.
Great for: employee satisfaction surveys, customer satisfaction surveys, marketing surveys
Can supply your own data, such as from a survey, in various formats including text and Excel spreadsheet.
Can acquire data from social media including Facebook, Twitter, and others.