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Semantic and Sentiment Analysis

  • Dipanjan Sarkar
Chapter

Abstract

The key limitation is their inability to perceive, understand, and comprehend things like humans do. With the resurgence in popularity of neural networks and advances made in computer architecture, we now have deep learning and artificial intelligence evolving rapidly to make some efforts into trying to engineer machines into learning, perceiving, understanding, and performing actions on their own. You may have seen or heard several of these efforts, such as self-driving cars, computers beating experienced players in games like chess and Go, and the proliferation of chatbots on the Internet.

Keywords

Text Document Word Sense Disambiguation Entity Recognition Movie Review Sentiment Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Dipanjan Sarkar 2016

Authors and Affiliations

  • Dipanjan Sarkar
    • 1
  1. 1.BangaloreIndia

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