Legal teams use our document redaction capability to remove names, metadata, email addresses, and other sensitive information to produce Bates-stamped and spreadsheet-indexed PDF collections.Students around the world face the hardship of admission essays come every December. Academics trust DiscoverText to help them do better and more transparent scientific research resulting in scholarly publications. We offer an API and support technical integration with Twitter.
Our machine-learning sifters are created in hours or just a few minutes using crowdsourcing. DiscoverText combines hybrid data science methods (ex., crowdsourcing, measurement, adjudication, iteration, replication, annotator ranking) along with established e-discovery text analytics tools, to shorten a process that used to last weeks or months when words get sorted in spreadsheets. Users of DiscoverText build reusable custom machine classifiers or “sifters” to find the most (or least) relevant items before using other classifiers for sorting items into topic, sentiment, and other categories. Read more than 100 authenticated Capterra reviews to find out why we are ranked #1 by Predictive Analytics Today for text, metadata, and Twitter data analysis and trusted by hundreds of academic research groups.Ĭollect, clean, and analyze text data Unstructured text data is messyĭata scientists working on text analytics and machine-learning know cleaning data can be time consuming. Students and professors get free access, training, and project supportdirectly from the founder. DiscoverText is GSA-approved small business. Our users work via a point and click graphical user interface in web browsers to sort unstructured free text common in market research, as well as associated metadata, also found in customer feedback platforms, CRMs, chats, email, large scale HR or other open-ended answers on surveys, public comment to government agencies, Twitter, RSS feeds, and other forms of text data. DiscoverText offers a range of simple to advanced cloud-based software tools empowering users to quickly and accurately evaluate large amounts of text data. We provide dozens of multilingual, text mining, data science, human annotation, and machine-learning features. About our text analysis data science software Collaborative text analytics for human and machine-learning
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