Texifter
Cloud-based text analytics software for collaborative data science, machine-learning, and human annotation, with free access for academics.
Overview
What is Texifter?
DiscoverText is a text analysis and data science software that provides multilingual tools for mining, annotating, and classifying large amounts of unstructured text data. It combines human and machine-learning methods to accelerate processes like sentiment analysis, topic categorization, and e-discovery.
What is Texifter used for?
Tags

Top Features
- Multilingual text mining
- Human annotation tools
- Machine-learning classifiers
- Crowdsourcing integration
- Deduplication and clustering
- eDiscovery capabilities
- Document redaction
- Academic project support
How to use Texifter?
Users access the software via web browsers with a point-and-click interface to collect, clean, and analyze text data. They can build custom machine classifiers, use crowdsourcing for annotation, and apply tools like deduplication and clustering to evaluate data from sources like surveys, Twitter, and CRMs.
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Pros & Cons
Pros
- Free for students and professors
- Cloud-based and accessible
- Combines human and machine methods
- Supports large-scale data analysis
- Trusted by academics and legal teams
Cons
- May require training for advanced features
- Primarily web-based with no native apps
Use Cases
- Academic research and publications
- Legal document redaction and e-discovery
- Market research and customer feedback analysis
- HR and employee satisfaction surveys
- Government public comment processing
Texifter Pricing
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