DiscoverText

5 / 5 19 reviews

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

19 Reviews
  • 5 / 5
    Overall
  • 5 / 5
    Ease of Use
  • 5 / 5
    Customer Service

Product Details

  • Starting Price
    $99.00/month/user
  • Pricing Details
    $99/month Professional, $2000/month Enterprise, Gnip Twitter Data $5/10,000
  • 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 companies 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 Googles PageRank for web search, but tailored to improve largescale, 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!


62ce89d4f58afdf9c6d60b18bc06f474

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.

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.

Caa45e55c9ea83cb3170675c16e6c994

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.

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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.

107683699b1d5388d252ed5e5bc17eaf

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.

97a21d737d4f00b45850c68a5158816f

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
Likelihood to Recommend: 8.0/10 Not
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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.

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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.

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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.