Case Studies

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Named Entity Recognition and Relation Extraction

Facilitates information analysis by retrieving named entities and relations between them from unstructured text data

Threats and Leaks Analysis

Enables to detect signs of potential threats and information leaks using advanced semantic technology

Opinion Analysis

Provides with up-to-date information about customers’ opinions

Document Sentiment Classification

Automatically classifies texts according to their sentiment polarity (positive, negative or neutral)

Enterprise Search and Document Management

Ensures the efficient use and sharing of corporate documents and knowledge

Creation of «Who is Who» Database

Creates biographical database from unstructured texts

Media Content Management

Performs search and automatic categorization of media content on the basis of semantic metadata

Review Rating Prediction

Improves rating system of user feedback