Summary
Contents
Subject index
Teach students how to construct a viable research project based on online sources. Gabe Ignatow and Rada Mihalcea’s An Introduction to Text Mining: Research Design, Data Collection, and Analysis provides a foundation for readers seeking a solid introduction to mining text data. The book covers the most critical issues that must be taken into consideration for research projects, including web scraping and crawling, strategic data selection, data sampling, use of specific text analysis methods, and report writing. In addition to covering technical aspects of various approaches to contemporary text mining and analysis, the book covers ethical and philosophical dimensions of text-based research and social science research design.
Chapter 1: Text Mining and Text Analysis
Text Mining and Text Analysis
Learning Objectives
The goals of Chapter 1 are to help you to do the following:
- Familiarize yourself with a variety of research projects accomplished using text mining tools.
- Address different research questions using text mining tools.
- Differentiate between text mining and text analysis methodologies.
- Compare major theoretical and methodological approaches to both text mining and text analysis.
Introduction
Text mining is an exciting field that encompasses new research methods and software tools that are being used across academia as well as by companies and government agencies. Researchers today are using text mining tools in ambitious projects to attempt to predict everything from the direction of stock markets (Bollen, Mao, & Zeng, 2011) to the occurrence of political protests (Kallus, 2014). Text mining is also commonly used ...
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