DiscoverText Pricing, Features, Reviews & Comparison of Alternatives

DiscoverText

Collaborative text analytics for academics, companies & govt

4.56/5 (108 reviews)

DiscoverText overview

DiscoverText is a cloud-based text analysis and data science software used to evaluate large amounts of unstructured free text, survey responses, Twitter data, public comment to government agencies, and more. The semi-structured workflow allows users to create adaptive, custom text classifiers using machine-learning and crowd source coding to find relevant items, and sort them into categories such as topic or sentiment.

DiscoverText includes a number of multilingual, data science, text mining, human coding, and machine-learning features which help to evaluate large volumes of unstructured free text, and conduct precise analysis at scale. Users can create customized, reusable machine‐learning text classifiers or 'sifters' using the uClassify web service in order to accurately collect, clean, and analyze relevant text data. Results can then be sorted into topic, language, gender, sentiment, mood, and various other categories. The solution's combination of data science methods and tools for eDiscovery text analytics help to shorten the process, along with features for crowdsourcing. A collaborative annotation system and adjudication methods help to improve machine-learning by ranking human annotators over time. DiscoverText also includes a patented CoderRank approach which focuses on algorithmic techniques comparable to 'PageRank' for Google search, but tailored for large-scale text analytics.

Users can take advantage of features such as Boolean defined search, interactive word clouds, n-grams, and custom mini topic dictionaries, as well as filter items by date, geography, influence, networks, place name, and a variety of other metadata values. Features for deduplication and automated clustering of similar text allow users to create groupings to further accelerate the training of machine classifiers. Custom, complex search queries and human coding schemes can be saved for reuse at a later date.

Pricing

Starting from
$99/month
Pricing options
Value for money
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Devices

Business size

S
M
L

Markets

United States, Asia, Australia, Brazil, Canada and 8 other markets, China, Europe, Germany, India, Japan, Latin America, Mexico, Middle-East and Africa

Supported languages

English, Arabic, Chinese (Simplified), Danish, Dutch and 6 other languages, Finnish, French, German, Hebrew, Italian, Spanish
DiscoverText screenshot: Create and save complex search queries, human coding schemes, or just filter on active-learning machine classification scoresDiscoverText ExplainedDiscoverText screenshot: Deduplication and automated clustering of near-duplicates gives users a high level sense of the data landscapeDiscoverText screenshot: Manage datasets and view the number of units, codes, coders, and coding percentagesDiscoverText screenshot: The uClassify feature offers interactive machine classifier histograms which allow data science teams to identify the items in a collection that add the most value when coded by humansDiscoverText in 30 Seconds

DiscoverText reviews

Value for money
Features
Ease of use
Customer support
  4.6
  4.5
  4.2
  4.5
Wasim Ahmed

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

Used weekly for 2+ years
Reviewed 2017-12-19
Review Source: Capterra

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.

Rating breakdown

Value for money
Ease of use
Features
Customer support

Likelihood to recommend: 10/10

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Brittany Andersen

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

Used occasionally for 1-2 years
Reviewed 2018-02-25
Review Source: Capterra

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!

Response from Texifter


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

Rating breakdown

Value for money
Ease of use
Features
Customer support

Likelihood to recommend: 10/10

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Christine Atchison

A much better way to scrape data than learning how to code an API

Used daily for free trial
Reviewed 2018-12-29
Review Source: Capterra

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

Rating breakdown

Value for money
Ease of use
Features
Customer support

Likelihood to recommend: 10/10

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Antonia Samur

Unique tool for academic research with a wide range of features

Used daily for 6-12 months
Reviewed 2018-10-10
Review Source: Capterra

We are an academic institution using Discovertext to study social media use related to disaster preparedness and response. We’ve used the platform to code, filter, classify and analyze historical Twitter data (about 1.5 million tweets), which has opened new opportunities in academic research of social media use. We have used collaborative coding processes and individual coding, the combination of which makes this platform a unique tool for data analysis. We hope it continues to exist and improve as it provides a great service for research like ours.

Pros
- The software allows to code and machine-classify thousands of tweets per day through its filtering, search and other advanced features. - The fact that is cloud-based makes it very convenient to work collaboratively with very large amounts of data from anywhere. - The metadata and tag cloud features are very useful throughout the whole coding and analysis processes. Customer support is great and normally very timely.

Cons
The software has many extremely useful features, but sometimes it has been hard to keep track of exactly how to use them and where to find them, especially because they are constantly evolving as the developers improve existing features, and add new features and functionalities. It would be helpful to have online User Manual that contains the exact way to use function, what each function does, and how to access them easily.

Response from Texifter


Dear Antonia,

It has been a pleasure working with your group and I hope the research continues to bear fruit for you and the team.

We are very grateful for this careful and thoughtful review.

Regards,
~Stu

Rating breakdown

Value for money
Ease of use
Features
Customer support

Likelihood to recommend: 10/10

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Anonymous

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

Used daily for 2+ years
Reviewed 2018-01-03
Review Source: Capterra

The ability to work with Twitter data.

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.

Response from Texifter


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

Rating breakdown

Value for money
Ease of use
Features
Customer support

Likelihood to recommend: 10/10

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DiscoverText pricing

Starting from
$99/month
Pricing options
Free trial
Subscription
View Pricing Plans

PROFESSIONAL: $99/month ($49 for academics, $24 for students)

ENTERPRISE: $2,000/month ($1,000 for academics, $500 for students)

DiscoverText features

API
Collaboration Tools
Data Filtering
Data Import/Export
Filtered Views
Reporting & Statistics

Activity Dashboard (116 other apps)
Ad hoc Reporting (72 other apps)
Business Intelligence (101 other apps)
Charting (75 other apps)
Customizable Reporting (83 other apps)
Dashboard Creation (93 other apps)
Data Visualization (129 other apps)
Drag & Drop Interface (62 other apps)
Monitoring (71 other apps)
Real Time Analytics (98 other apps)
Real Time Data (77 other apps)
Real Time Reporting (56 other apps)
Third Party Integration (78 other apps)
Visual Analytics (110 other apps)

Additional information for DiscoverText

Key features of DiscoverText

  • Taxonomy classification
  • Language detection
  • Boolean queries
  • Document filtering
  • Topic clustering
  • Live data feeds
  • Keyword search
  • Buckets
  • Coding tools
  • Attach memos to documents, datasets and archives
  • Data exports
  • CloudExplorer
  • Reporting tools
  • Comparison tools
  • Advanced search
  • Duplicate detection
  • Offensive language detection
  • Filter by metadata and threshold classification
  • Create and save complex search queries
  • Human coding scheme
  • Boolean defined search
  • N-grams
  • Word clouds
  • Custom topic dictionaries
  • Machine-learning classifiers
  • uClassify - Machine learning web service
  • Schedule repeat fetches
  • Connect and work with peers via web browser
  • Measure inter-rater reliability and validate results
  • Generate high-level summary and detailed reports
  • Highlight unique text
  • Bucket filtered documents and search results
  • Re-use models
  • Text analysis
View All Features

Benefits

DiscoverText's CoderRank tool focuses on algorithmic techniques comparable to "PageRank" for Google web search, but tailored for large-scale, collaborative text analytics through enhanced machine-learning.

Eliminate duplicates and cluster similar text and comments with a click using DiscoverText, and auto-highlight any unique or offensive language.

Generate and drill into word clouds to visually understand text data and build mini topic dictionaries. Generate reports in PDF, XML, RTF, or CSV format for further analysis.

Form peer groups and project networks to collaborate on assignments and tasks within DiscoverText, and share or archive completed projects online.

Search for key concepts and text with Boolean defined search, and archive social media content from both free and premium Gnip Twitter data streams.