Natural Language Processing (NLP) in machine learning

Natural Language Processing (NLP) in machine learning

1. different ways of interpreting a language between a machine and a human

   • Turing Test in 1950
     • the objective was to detect an artificial intelligence based on how it communicates with humans, the nlp experts identified the human-machine interaction through text.
   • Advantages of NLP
     • -detect spam in emails -tag the part of a conversation that contains a verb or a noun -detect an entity such as a business or company name (called named entity recognition) -stock market prediction
   • Disadvantages of NLP
     • interpretation of texts in several languages ​​-identification of ambiguity in people or objects it is impossible for him to detect the different forms of expression that the author can implement in the text