# DiscoverText Reviews 2026. Verified Reviews, Pros & Cons | Capterra > Is DiscoverText the right Text Mining solution for you? Explore 111 verified user reviews from people in industries like yours to make a confident choice. Source: https://www.capterra.com/p/151927/DiscoverText/reviews --- DiscoverText 4.6 (111) [View alternatives](https://www.capterra.com/p/151927/DiscoverText/alternatives/) Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/) * * * Last updated March 13th, 2026 # Reviews of DiscoverText Ease of use 4.2 Customer Service 4.6 ## Pros and Cons in Reviews SK Sezgi K Ph.D. student/ TA & RAHigher Education, 501 - 1,000 employeesUsed the software for: 6-12 months. “We are hoping to pursue a research project on the markers of parochial empathy observed through Twitter data of users commenting on Syrian refugees in Turkey in the next 6 months using DiscoverText.“ June 29, 2022 RY Rubens Y PhD CandidatePublic Policy, 11 - 50 employeesUsed the software for: 6-12 months. “Some minor UX details (i.e. page after reloading sometimes hide some tabs or does not jump to the top of the data displayed). When filtering data, it doesn't allow to combine some metadata fields (i.e. location declared in bio), so you must filter data step by step.“ May 3, 2022 SF Saadia F Graduate Research Assistant Higher Education, 2 - 10 employeesUsed the software for: Less than 6 months. “The best feature is that you get to see tweet as the tweets are supposed to look like.“ June 29, 2022 RG Radhika G ProfessorResearch, Self-employedUsed the software for: Less than 6 months. “We use several tools to get a better insight into the data sets we create.“ September 10, 2022 SK Sezgi K Ph.D. student/ TA & RAHigher Education, 501 - 1,000 employeesUsed the software for: 6-12 months. “It is incredibly easy to collect and clean data in different types and formats.“ June 29, 2022 ## Showing most helpful reviews Showing 1-25 of 111 Reviews Sort by: Most Helpful Rating Company Size Reviewer's Role Length of Use Frequency of Use Wasim A. Teaching Assistant & Demonstrator Higher Education Used the software for: 2+ years ### "Superb cloud-based software tool with powerful text analytics with social media integration." December 19, 2017 5.0 It allowed me to conduct research that otherwise would not have been possible including both industry and academic projects. 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. Review Source Christine A. Water Treatment Consultant Environmental Services Used the software for: I used a free trial ### "A much better way to scrape data than learning how to code an API" December 29, 2018 5.0 I'm a PhD candidate who straddles the Humanities and Social Sciences, so I use DiscoverText as a research tool. Pros My review of DiscoverText is a bit limited because I'm really only using it for Twitter. That said, the features are incredible. I know a bit about coding, but the prospect of learning JSON to use Twitter's API was doable but daunting. When I came across DiscoverText I was so pleased to find a way to search, use, and categorize Twitter data that made sense and would save me A LOT of time. I didn't anticipate getting access to so much useful metadata that was easy to navigate and use, so I was pleasantly surprised. The built-in bucket and dataset features are great ways to organize the massive amount of Twitter data that can be collected. The ability to code the data with peers within DiscoverText is also super useful. I really can't exaggerate how many features DiscoverText has that I didn't think I would need but have used to improve the quality of my scholarship. Cons The software has many features that I didn't find on my own, so the UI could be improved a bit. That said, the one-on-one tutorial that the founder provides helps mitigate this issue. The tutorial videos are helpful too! You'll just have to be prepared to set aside a few hours to really learn the program. Review Source Response from Texifter January 2, 2019 Dear Christine, It is really hard to express how inspirational a review like this is. You have really made our day. We are looking at 2019 trying to decide if this is the year to build v2 of a 9 year old interface. Thanks for embracing buckets & datasets; this was a tough sell to some folks over the years, but they are critical to User success. We are very grateful you took the time to write this generous review. Please write us if we can do anything for you. Thanks, ~Stu KA Katarina A. Executive MBA Student Used the software for: Less than 6 months ### "Great for analyzing social media data- just not offline documents." April 7, 2018 2.0 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. Review Source Response from Texifter September 5, 2018 Katarina, Sorry for the confusion about the length of the free trial. It was 30-days for many years and we changed it to 3 only recently. Please send a request to info@texifter.com and I will send you a 6-month license. For details about the features, we suggest you review some of the support materials: https://texifter.zendesk.com/hc/en-us As to why use the tools, perhaps review the tutorials: https://discovertext.com/tutorials/ You might also find some answers as to why use the tools here, in the 200+ academic citations of the tools: https://discovertext.com/publications/ Finally, I am available for 1-1 web trainings: https://calendly.com/discovertext So, I think you may not have fully tried to use all the customer support options. We work very hard to make sure newcomers get comfortable quickly. Stu Hossein K. Research Fellow and Adjunct Professor Used the software for: Less than 6 months ### "Honestly,I can say DiscoverText makes analyzing social data not only easier, but also more enjoyable" January 1, 2018 5.0 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. 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! Review Source Response from Texifter 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. Jim W. Director, Center for Social Science Research & Professor of Sociology Higher Education Used the software for: 2+ years ### "We have been using the software to study twitter conversations on immigration going back to 2013." January 29, 2018 4.0 Easy data capture 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. Review Source Response from Texifter 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. Gabriela Z. Independent Researcher Computer Software Used the software for: 2+ years ### "I've been using it for several years for analyzing customer data and Twitter data." December 14, 2017 5.0 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. 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. Review Source Max S. Staff Position Used the software for: 1-2 years ### "It's a great tool to code big or even vast amounts of data in an efficient way. It work very well!" June 8, 2018 5.0 Pros It is easy to use, very intuitive, it gives you the basic options and functions in a clear design. Through the annotation tool, it is easy to amend the existing coding scheme and hint to anything problematic. This way you can also easily communicate with other users who you work on a project with. I really like the elegance of the program! It works very well for both rather simple (even binary) and truly elaborate and detailed coding schemes. Cons the only real problem I encountered was that it can be annoying to jump back to an already coded item (for instance if you realized you made a mistake or want to add an annotation): if you use the "back" function it brings you to the previous numerical item which might not be the one you coded but one someone else is coding at the same time. Then you have to keep clicking "back" until your item reappears. This should be fixed. It is, however, a rare issue. Review Source Response from Texifter June 11, 2018 Max, Thanks for this idea and the generous review. It makes perfect sense and we will engineer a solution for that immediately. Stu Joseph D. Postdoctoral Fellow Research Used the software for: 1-2 years ### "Excellent software and after sales support" January 23, 2018 5.0 Made my research possible, cant overstate how important it has been for me! 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. Review Source Morgan D. Graduate Research Fellow Research Used the software for: I used a free trial ### "Discover Text for academic study" January 30, 2019 5.0 Discover text has been an incredible resource to explore crisis communication. The founder is particularly dedicated to his product and has held numerous one on one tutorial sessions for me. Pros The advanced filtration tool allows you to sort of metadata tags like the geolocation of a tweet, which is extremely useful for academic work. This software is a great platform for an engineering academic like me to ease into the fields of text analytics and sentiment analysis. Cons Like any software there is a learning curve for Discover text. Rely on the vast tutorial library to get through tasks., and sometimes the distinctions between data levels (buckets vs datasets) can be confusing. Review Source Response from Texifter February 1, 2019 Morgan, That is a very generous review. You are right that as a founder, the software acquires the status of a family member; almost a beloved child. There was a time "buckets" were on the chopping block (not my idea) and I fought it. Buckets are critical parts of projects. Here is how I explain it to people now: ARCHIVES: Raw text and metadata (static or live feeds updating) that can be manipulated without changing the raw data archive. BUCKETS: Sub-sets of raw data (search, filter, code, cluster, classify and then mix and match techniques to make buckets). DATASETS: Samples for human coding and machine learning. One advantage to this structure is continual LOW-RISK experimentation. Try one pathway, if it works, keep going, if not, try an alternate route informed by previous failures. People often ask: what comes first? Once the data is loaded, that is up to you. There is no A,B, C path the same for all. The platform supports qual, quant, and mixed methods. Matt R. Assistant Professor of Strategic Communication Higher Education Used the software for: 1-2 years ### "DiscoverText Review" September 7, 2018 4.0 Pros The software is easy to use and navigate. Access to Twitter and Facebook is useful, but I found the ability to capture RSS feeds to be especially unique to the research I do. Cons The main problem I run into, especially with Twitter data, is the number of units I can store. Upgrading to the top tier account is cost prohibitive, so I am left to work within the parameters of the software. That means when capturing Twitter data I can easily reach the cap in an hour or two. I'm always on the lookout for a software that can allow me to capture more data affordably. Review Source Response from Texifter September 10, 2018 Matt, You can keep your subscription at the Professional level (with the 50% discount for being faculty) and just upgrade the amount of storage. All professional accounts come with storage up to 10,000 units. You can purchase more storage units for $20 a month per 100,000 up to 1,000,000 units. If you need more than 1,000,000 units, contact us. Items imported via the Twitter Premium PowerTrack do not count against your general storage limit. We do need to meter usage of cloud computing resources. If you store and process more data, it costs us more money. Stu BA Brittany A. PhD Student Used the software for: 1-2 years ### "DiscoverText is a great tool for collecting, sorting, and analyzing data" February 25, 2018 5.0 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! Review Source Response from Texifter March 7, 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 PR Patricia R. Prof./Director Fund-Raising Used the software for: 2+ years ### "DiscoverText is unique--it has the best mix of human coding and machine learning I have found." April 6, 2018 5.0 Combines data collection, human coding, machine coding and then easily exports to other software packages for additional analysis. Saves a huge amount of time. 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. Review Source Response from Texifter April 9, 2018 Dr. Riley, Thanks for the feedback. We really appreciate it. ~Stu LA Leah A. Associate Professor of English Higher Education Used the software for: 1-2 years ### "Great Tool to Gather and Sort Tweets" November 22, 2021 5.0 Pros I have found DiscoverText extremely useful for my current project - an analysis of a large group of #MeToo tweets. I looked at other commercial products and I found them all very expensive and challenging and mostly geared to marketing within commerce. DiscoverText is more geared to research, and I very much appreciate that. I also appreciate how available \[SENSITIVE CONTENT\] is to users who need technical support. Early on in my project, he consulted with me on how to go about searching, gathering, and analyzing my data. Cons I don't have anything to put here. Thanks! Review Source Response from Texifter December 21, 2021 Thanks for the review Leah. That is an important topic to study and we are happy to help if possible. Did you know we have the first 3 days of #metoo in three languages? The DiscoverText collaborative architecture makes it possible for many professors and students to study this data. We are here if you want to schedule a class training. ~Stu ES Egor S. Research Assistant Used the software for: Less than 6 months ### "Our goal was to get a historical tweets and do an linguistic analysis. " March 12, 2018 4.0 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 Review Source Response from Texifter 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 NB Nurgul B. Graduate Student Used the software for: Less than 6 months ### "Discovertext is a great tool!It helps you make sense out of messy, unstructured data." March 14, 2018 4.0 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. Review Source Response from Texifter 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 jJ junegak J. Researcher Market Research Used the software for: Less than 6 months ### "Great preprocessing. The software is perfect to use." June 12, 2018 4.0 Preprocessing to perform my algorithm. Pros Export function is so nice. To write a research paper, I should perform my algorithm. That's why export function (excel format) is suitable to academic scholars. Basic statistics and graph are also nice because they give insights on the data. Cons The software is great. However, Twitter pricing policy is barriers to scholars. Pricing on the volume of tweets is acceptable, but pricing of the period makes researcher hard. For example, the researcher needs to monitor at least 1 month. Then, daily pricing is so excessive although the volume of tweets is small. Therefore, the pricing policy will affect the popularity of the software. Review Source Response from Texifter June 12, 2018 Thanks for the review. The price to access Twitter data is based on a model Twitter developed. We have to use that model. You are describing the $25/day for historical Twitter access via Sifter (which is in fact a separate application). DiscoverText users are mostly not Sifter users, rather, they collect realtime data, or they upload their own data. Some DiscoverText users get their Twitter data access through Sifter, but that pricing is not a part of DiscoverText. Stu MF Miao F. Graduate assistant Higher Education Used the software for: 2+ years ### "DT has been my favorite tool for text coding and data collection for a long time. " December 22, 2017 5.0 I've done many research projects with this software. 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. Review Source AH Alexandra H. Research Assistant Used the software for: ### "I applied for a 3 day trial. Discover Text was very quick to get back to me. Very easy to use." March 12, 2018 3.0 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. Review Source Response from Texifter 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 AA Antonio A. Research Scientist Education Management Used the software for: Less than 6 months ### "Useful for data handling" August 1, 2018 5.0 We were interested in having access to historical data from twitter, but DiscoverText allowed us to perform some cool analyses on the spot. Thanks! Pros The ability to create datasets / buckets is fairly useful, particularly when you work with thousands of records at the same time. Datasets are conveniently partitioned into 50,000 records, which is also very useful when downloading. Cons It takes a few minutes to familiarize with the interface, but it's fairly intuitive afterwards. Review Source Response from Texifter August 13, 2018 Hi Antonio, Yes, as you¿ve discovered, DiscoverText (https://discovertext.com/) users are mostly not Sifter users, rather, they collect real-time data, or they upload their own data. However, some DiscoverText users get their historical Twitter data access through Sifter (https://sifter.texifter.com/). 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. To learn more about the distinction between buckets and datasets, read: https://texifter.zendesk.com/hc/en-us/articles/200744374-Archives-buckets-and-datasets We have worked hard to document the features of the system, with both a knowledge base and video tutorials: https://texifter.zendesk.com/hc/en-us https://discovertext.com/tag/video/ Thanks, Stu FB Frances B. Graduated PhD student Research Used the software for: 2+ years ### "Fine program for coding my dissertation " June 15, 2018 4.0 It was a great way to code thousands of tweets. Pros Relatively easy to use overall Very easy to use coding Uploaded and creating projects was pretty straight forward Cons Never heard back when I emailed concerning what happens to my data when I was finished with coding. It was rather expensive for a grad student trying to finish a PhD. Review Source Response from Texifter June 18, 2018 Hi Frances, We really appreciate the review. Please check your email for a message from us. You excellent question will go in an updated FAQ. Thanks, Stu MD Montserrat D. Associate Professor Research Used the software for: 2+ years ### "I've been using DiscoverText since 2012 for research on Twitter." December 15, 2017 5.0 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. Review Source LP Lauren P. Doctoral Student Used the software for: 6-12 months ### "Easy to use, good data organization, simple interface, great support" December 18, 2017 5.0 See the "pros" list--I got my master's degree! 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. Review Source OO Obehioye O. Twitter Annotator Information Technology and Services Used the software for: Less than 6 months ### "Great Product" July 30, 2018 4.0 Pros The software was easy to navigate and efficient. Cons There would be random times when it would randomly slow down or stop working altogether. Review Source Response from Texifter August 13, 2018 We appreciate the feedback, Obehioye. Given the huge volume of data that some projects involve (for example, there are over 500,000,000 tweets created each and every day) there may be occasional pauses. If you think something has completely stopped working please contact us; if a support request is generated, you will hear a response the same day, often within 30 minutes. https://discovertext.com/contact-us/ Support Documentation & Knowledge Base: https://texifter.zendesk.com/hc/en-us Video tutorials: https://discovertext.com/tag/video/ ML Mingxuan L. student Research Used the software for: 1-2 years ### "Powerful and easy to learn software" April 25, 2019 5.0 It's been an enjoyable experience! Pros It's very powerful and self-explanatory! Easy to use! Cons sometimes the loading time can be a bit long. Review Source Response from Texifter April 26, 2019 Mingxuan, It is great to hear from you and thanks for the review. Some tips regarding slow loading: 1. Close most/all of the other browser tabs; 2. Close all other browsers; 3. Clear your browser cache regularly; 4; List view setting =<25; 5. Ensure the broadband connection is good; 6. Do not stream music or videos. Some of the features take longer if are doing some or all of those things above. Other factors can be the size of the project the computationally intensive nature of the operation. I hope this help, ~Stu VR Verified Reviewer N/A Writing and Editing Used the software for: I used a free trial ### "DiscoverText" May 3, 2019 5.0 Pros Intuitive to pick up the basics, useful even at low skill level Cons Saving data was unintuitive compared to other features Review Source Response from Texifter May 10, 2019 Dear Reviewer, Thanks for taking the time. By saving data, I think you may mean exporting Tweets, which is difficult and regulated because we obey the Twitter Terms of Service. Also, free trials are for testing the software application, not for gathering and exporting data. Stu Similar Products Featured ## Related categories [Text Mining](https://www.capterra.com/text-mining-software/)