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Natural Language Processing and Computational Linguistics

You're reading from   Natural Language Processing and Computational Linguistics A practical guide to text analysis with Python, Gensim, spaCy, and Keras

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788838535
Length 306 pages
Edition 1st Edition
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Author (1):
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Bhargav Srinivasa-Desikan Bhargav Srinivasa-Desikan
Author Profile Icon Bhargav Srinivasa-Desikan
Bhargav Srinivasa-Desikan
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Table of Contents (17) Chapters Close

Preface 1. What is Text Analysis? 2. Python Tips for Text Analysis FREE CHAPTER 3. spaCy's Language Models 4. Gensim – Vectorizing Text and Transformations and n-grams 5. POS-Tagging and Its Applications 6. NER-Tagging and Its Applications 7. Dependency Parsing 8. Topic Models 9. Advanced Topic Modeling 10. Clustering and Classifying Text 11. Similarity Queries and Summarization 12. Word2Vec, Doc2Vec, and Gensim 13. Deep Learning for Text 14. Keras and spaCy for Deep Learning 15. Sentiment Analysis and ChatBots 16. Other Books You May Enjoy

What is Text Analysis?

There is no time like now to do text analysis – we have an abundance of easily available data, powerful and free open source tools to conduct our analysis, and research on machine learning, computational linguistics and computing with text is progressing at a pace we have not seen before.

In this chapter, we will go into details about what exactly text analysis is and look at the motivations for studying and understanding text analysis. Following are the topics we will cover in this chapter:

  • What is text analysis?
  • Where's the data at?
  • Garbage in, garbage out
  • Why should YOU be interested?
  • References

A note about the references: they will appear throughout the PDF version of the book as links, and if it is an academic reference it will link to the PDF of the reference or the journal page. All of these links and references are then displayed as the final section of the chapter, so offline readers can also visit the websites or research papers.

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