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Text Mining with Machine Learning: Principles and Techniques - Research Book

Text Mining with Machine Learning: Principles and Techniques - Research Book

Essential Research Book in Text Mining with Machine Learning: Principles and Techniques

Author(s) Name:  Jan Zizka, Frantisek Darena, Arnost Svoboda

About the Book:

   This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms.
   The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc.

Table of Contents

  • Introduction to Text Mining with Machine Learning
  • Introduction to R
  • Structured text representations
  • Classification
  • Bayes Classifier
  • Nearest Neighbors
  • Decision Trees
  • Random Forest
  • Support Vector Machines
  • Deep Learning
  • Clustering
  • Word Embeddings
  • Feature Selection

    • ISBN:  9781032086217

    Publisher:  CRC Press Publisher

    Year of Publication:   2020

    Book Link:  Home Page Url