Nlp-based content recommender

A computer-readable medium containing content that, when executed, causes a computing system to perform a method comprising:

• receiving an indication of text content;
• processing the indicated text content using natural language based parsing and language analysis techniques to derive a list of all of the named entities present in the indicated text;
• presenting an ordered list of the derived named entities, the list reflective of what the text content concerns;
• and
• presenting indicators of recommended content associated with the derived named entities wherein the additional content is provided upon receiving an indication that the presented indicator has been navigated to, and wherein additional content is determined as relevant based upon a natural language based analysis of the named entities relative to the indicated text content and the named entities relative to a larger corpus of document information or a knowledge repository.

A computer-implemented NLP-based content recommendation widget, comprising:

• a memory;
• and
• a content recommender module that is configured to, when executed,
• receive a text segment for processing;
• identify one or more candidate named entities to which a received text segment refers based, at least in part, upon a natural language analysis of the text segment;
• and
• derive and present related content based at least in part upon a natural language analysis of entity based information and context related information.