DiscoverText vs Tubular Intelligence

DiscoverText is a cloud service for mining, annotating and analyzing multilingual text collections with machine learning. It can work with free text and metadata from surveys, customer feedback, CRM, chats, email, public comments, X/Twitter and RSS feeds. Users can build reusable classifiers called sifters to find relevant material and sort it into topics, sentiment or other categories. Its described process combines machine classification with human annotation, crowdsourcing, adjudication, measurement and iteration. For eDiscovery, it offers deduplication, near-duplicate clustering and document redaction that can produce Bates-stamped, spreadsheet-indexed PDF collections. Students and professors may receive free access, training and project support from the founder; academic group licenses are also listed as free. API access is limited to licensed Enterprise users granted an API key. Documented API operations include projects, archives, buckets, datasets, deduplication, clustering and tag clouds. The maker says it no longer collects Twitter data in real time and is not connected to Facebook’s open API. Professional costs $99 a month; Enterprise costs $3,000 a month.

Tubular Intelligence has no write-up on Specifiction yet; its figures are above.