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.

Writing and Reporting Your Research

Learning Objectives

The goals of Chapter 17 are to help you to do the following:

  • Review basic principles of academic writing.
  • Identify specific skills needed for social science writing.
  • Learn the uses of theory and evidence in social writing.
  • Anticipate special challenges associated with writing up text mining research.

Introduction: Academic Writing

Writing is a part of virtually every step of a text mining research project, from jotting down research ideas to taking notes on themes found in texts and writing out research hypotheses. But writing up and reporting your research as a term paper or possibly an article for publication in a research journal (e.g., in an undergraduate research journal such as those listed at the end of this chapter) demands specialized writing skills.

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