
FRS NLP-LEX for text analysis and text summarisation
LEX, is a thematic language extraction NLP engine that uses rule-based and machine learning techniques to identify and extract thematic language from documents. The goal of LEX is to highlight sentences within documents pertaining to specific type of language. The engine uses two sources of input to determine the extractions: a lexicon of specific terminology as well as a word-vector model.
- Use cases, geography and tags
- Organizations that created, adopted or are mentioned
- Ecosystem position
- Link to the original asset
- Comments and reactions