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Text Analytics With Python eBook

A Practical Real-World Approach To Gaining Actionable Insights From Your Data

by Dipanjan Sarkar
language: english
Publisher: Apress, November of 2016 ‧
52,99€
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Ebook for ADE

Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization.

Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird''s eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems.

What You Will Learn:

  • Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure
  • Builda text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews
  • Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern


Who This Book Is For :

IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data

Text Analytics With Python

A Practical Real-World Approach To Gaining Actionable Insights From Your Data

by Dipanjan Sarkar

Property Description
ISBN: 9781484223888
Publisher: Apress
Release Date: November of 2016
Language: English
Format: eBook
File Format and Compatibility: PDF para ADE
Collection: Professional And Applied Computing
Categories: eBooks in English > Science > Mathematics
eBooks in English > Computing > Database
EAN: 9781484223888