• 1) Automatic tagging. It is very useful for online news portals, especially for managers UGC (User Generated Content) to detect spam and beyond (e.g. manual tagging for Artificial Intelligence, Artificial Neural Networks and Services promotes indecent article).

• 2) NER (Named Entity Recognition) Automatic extraction and classification for Organizations, Brands, People, Locations, Dates, amounts, etc.

• 3) ranking: ranking assigned to each object NER (pct2) extract. Important function of the document gives a note (e.g. assign low grades mentions)

• 4) Sentiment Analysis (Opinion Mining) - Unlike most systems that use purely statistical tools, our Demo is using artificial intelligence techniques such as NLP (Natural Language Processing), IE (Information Extraction), Machine Learning, etc..

• 5) Generic tagging can tell what is spoken in the article (Currently the application does, not hardware goes - we have 4GRAM given that we need 8GRAM minimum, 16GRAM recommended  ;-))