Natural Language Processing (NLP) in Machine Learning

Natural Language Processing (NLP) in Machine Learning

1. Analysis between a machine and a human being in understanding a natural language.

2. Analysis between a machine and a human being in understanding a natural language.

   • Alan Turing
     • first devised the Turing Test in 1950
       • the goal was to detect artificial intelligence based on how it communicates with humans.
   • A computer with NLP
     • can successfully detect spam in your email
       • label the part of a conversation that contains a verb or noun
         • detect an entity such as the name of a person or a company
   • NLP when translating a text from another language
     • Disambiguating words with many meanings can be difficult, the difficulty in all these problems arises due to the context
       • As humans, we can easily resolve ambiguity by examining the text and the place and time expressed by the details of the conversation.
         • NLP still has a long way to go to figure out how to extract meaningful summaries from text effectively