

DiscoverText Software
About DiscoverText
DiscoverText Pricing
Tier 1 50 Simultaneous DiscoverText Accounts-Per Year-$125,000.00 (Your Cloud) 250 Simultaneous DiscoverText Accounts-Per Year-$200,000.00 (Your Cloud) Institutional Unlimited DiscoverText Accounts-One Time-$500,000.00 (Your Cloud) · There is no charge for installation, set-up, and initial testing. · We suggest in-house, Azure or AWS for a cloud hosting service. · The client must own the contract and pay the bill for their own cloud service. · We offer training and project support in English, French and Arabic. · Machine-learning applications require an institutional uClassify license. Tier 2 1 User-Per Year-$10,000.00 (Texifter Cloud) 1 User-Per Month-$1,000.00 (Texifter Cloud) · Texifter assumes all cloud hosting and computing costs and runs the software out of the United States. · Default storage is 100,000 units of text and associated metadata for monthly and 500,000 for yearly offers. · Upgraded storage capacity is negotiable starting at $200/month/million units.
Starting price:
$1,000.00 per month
Free trial:
Available
Free version:
Available
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DiscoverText User Reviews
OVERALL RATING
Showing 1 - 5 of 112 reviews

Wasim
Verified reviewer
Industry: Higher Education
Time used: More than 2 years
Review Source: Capterra
December 2017
Superb cloud-based software tool with powerful text analytics with social media integration.
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.

Christine
Verified reviewer
Company size: 1,001-5,000 employees
Industry: Environmental Services
Review Source: Capterra
December 2018
A much better way to scrape data than learning how to code an API
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.

Response from Texifter
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
Replied January 2019
Rubens
Company size: 11-50 employees
Industry: Public Policy
Time used: Less than 12 months
Review Source: Capterra
May 2022
Easy to use and powerful display
Very useful and easy to use. It save a lot of time and effort and allow you to get to the analysis easily.
Pros
It is very helpful to get the data from Twitter and sort results without programming. It offers basic stats and charts based on the data retrieved and the opportunity to easily group it according to the researcher interest. Display visually the Tweet as shown in Twitter, allowing to keep the sense of it, but in addition offers all the metadata in a convenient form.
Cons
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.

Response from Texifter
Thanks for taking the time to write a review. I agree there are a few display issues that need an update and you are correct to point them out.
Replied June 2022
Katarina
Time used: Less than 6 months
Review Source: Capterra
April 2018
Great for analyzing social media data- just not offline documents.
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.

Response from Texifter
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
Replied September 2018

Hossein
Verified reviewer
Time used: Less than 6 months
Review Source: Capterra
January 2018
Honestly,I can say DiscoverText makes analyzing social data not only easier, but also more enjoyable
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!

Response from Texifter
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.
Replied January 2018