Author(s) Name:  Gabe Ignatow & Rada Mihalcea

About the Book:

   Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections.
   This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.

Table of Contents

  Chapter 1 | Social Science and the Digital Text Revolution
  Chapter 2 | Research Design Strategies
  Chapter 3 | Web Crawling and Scraping
  Chapter 4 | Lexical Resources
  Chapter 5 | Basic Text Processing
  Chapter 6 | Supervised Learning
  Chapter 7 | Thematic Analysis, Qualitative Data Analysis Software, and Visualization
  Chapter 8 | Narrative Analysis
  Chapter 9 | Metaphor Analysis
  Chapter 10 | Word and Text Relatedness
  Chapter 11 | Text Classification
  Chapter 12 | Information Extraction
  Chapter 13 | Information Retrieval
  Chapter 14 | Sentiment Analysis
  Chapter 15 | Topic Models

ISBN:  9781483369341

Publisher:  SAGE Publisher

Year of Publication:  2018

Book Link:  Home Page Url