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.

Supervised Learning

Learning Objectives

The goals of Chapter 9 are to help you to do the following:

  • Recognize the task of supervised learning and its large range of applications.
  • Define feature representation and weighting in supervised learning, and classify specific learning algorithms.
  • Evaluate supervised learning methods.
  • Explore available software packages for supervised learning.

Introduction

Without us always realizing it, supervised learning has become a technology that is pervasive in our everyday life. Consider, for instance, the problem of predicting tomorrow’s weather based on current meteorological information, or consider the problem of predicting whether an incoming e-mail is spam or not, or consider the problem of predicting what movie somebody will like based on their own (and possibly others’) history of movies they liked. These, and many others, are all examples where ...

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