AI TOOL PROFILE
DiscoverText: Text Analytics and Mining Software
- Data and Analytics
- Analytics and Reporting
- Data scientists
- Market researchers
- Legal teams
- Academics
- Students
Pricing
Free access is available through a free trial. Students and professors may receive free access and project support.
At a glance
- Best for
- Data scientists, Market researchers, Legal teams, Academics, Students
- Key use cases
- Customer Feedback Analysis, Social Media Research, Legal E-Discovery, Academic Research
- Official website
- Visit discovertext official website
How AI is used
DiscoverText is a cloud-based platform designed to help users sort and analyze unstructured text data. It uses a point-and-click web interface for processing data from sources like customer feedback, social media, and government comments.
The tool is designed for a variety of users, including market researchers, legal teams, and academics. It supports the process of cleaning data and classifying it into topics or sentiments using a hybrid approach that combines human insight with machine-learning classifiers called sifters.
For legal professionals, the software includes document redaction capabilities. For data scientists, it offers tools for deduplication and automated clustering to help identify patterns in large datasets.
Buyers should confirm if their specific data sources are compatible with the platform's upload methods and whether the annotation workflow fits their internal team structure.
Key Features
Multilingual Text Mining
Supports the analysis and mining of text data across multiple languages.
Custom Machine Classifiers (Sifters)
Allows users to build reusable classifiers to sort text into specific topics or sentiment categories.
Human Annotation
Supports a hybrid workflow where humans code text to help train machine-learning models.
Deduplication and Automated Clustering
Identifies near-duplicate text entries to help users understand the data landscape.
Document Redaction
Supports the removal of sensitive information such as names and email addresses from documents.
Interactive Classifier Histograms
Helps data teams identify which items in a collection may provide the most value for human coding.
Use Cases
Customer Feedback Analysis
Collecting and cleaning unstructured text from surveys, emails, and feedback platforms.
Social Media Research
Mining and classifying data from X (Twitter) and RSS feeds to track digital footprints.
Legal E-Discovery
Using document redaction to produce Bates-stamped and indexed PDF collections.
Academic Research
Supporting scientific research and qualitative data analysis for scholarly publications.
FAQ
Who is DiscoverText designed for?
- It is designed for data scientists, market researchers, legal teams, academics, and students who need to analyze unstructured text.
Does DiscoverText offer a free version?
- The platform provides free access with a free trial, and offers free access and training to students and professors.
What kinds of data can DiscoverText analyze?
- It can process unstructured text from surveys, social media (such as X/Twitter), emails, customer feedback, and government comments.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
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