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Publisher's Summary

Dive deeper into the world of mining for or analyzing text.

Become more acquainted with the guiding principles of writing in a certain way, understanding language and tone in specific texts, and using existing models to analyze each and every word in relation to each other. In this guide, you will hear about topics such as:

  • Ways to use Python for text mining in three easy steps
  • How to look at sentiment analysis and the psychology of artificial intelligence
  • Lexicon-based analyses and comparative evaluation
  • Cross-language support and the uses of it
  • What effect the Markov model has on your analytical skills
  • The benefits of cynicism and sarcasm, and the tremendous impact they have on your audience
  • Conditional sentences and negation words, and their significance
  • Latent Dirichlet Allocation and what it means

By broadening your perspective and understanding text and tone better by applying advanced analytical skills, you will have the ability to dig into that big brain of yours and make the most out of your texts by comprehending them in a logical way.

©2018 David Feldspar (P)2018 David Feldspar

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Recommend to everybody!

The book covers almost all topics related to text analytics.. The best part is that it comes with practical applications and examples wit python code snippets. Must listen.

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Informative book.!!!

Excellent book. I'm new to text mining and felt some of the chapters got me up to speed immediately

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Great value

Great into chapter on linguistics and code that you can download and be up and running immediately. Well written as well. For me, it's a fascinating topic, and properly addressed in this text.