This platform combines NLP, entity extraction, text analytics, and semantic enrichment to classify and analyze large volumes of unstructured content. Pages 1–6 detail concept extraction, NER, text classification, summarization, sentiment/emotion analysis, and language detection. Visual dashboards show entity clouds and classification views. The system includes out-of-the-box knowledge bases (IPTC, LCTGM, ICB, GAAP-CI, resumes, retention) and connects to repositories like Documentum, Content Server, FileNet, Box, Gmail, Oracle, and SharePoint. It uses ML algorithms—Naïve Bayes, Boosting, decision trees—and supports multilingual extraction with robust knowledge engineering for custom taxonomies and models.

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