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 14: Opinion Mining
The goals of Chapter 14 are to help you to do the following:
- Define the task of opinion mining and explore its applications.
- Compare the different lexical resources and textual collections typically used for opinion mining.
- Summarize the main approaches to automatic opinion mining.
- Locate online opinion mining resources and software tools.
The recent growth of social media has led to an unprecedented amount of opinions being shared on the most diverse topics: People post their reviews of products on websites such as Amazon, share hotel reviews on Expedia or Hotels.com, give travel advice on TripAdvisor, share opinions about parenting on websites such as BabyCenter, discuss political views on news media websites such as CNN or HuffPost, and so on and so forth. Not only has ...