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 7: Lexical Resources
The goals of Chapter 7 are to help you to do the following:
- Understand the different types of lexical resources.
- Describe the representation and content of several lexical resources.
- Discuss the role played by different lexical resources in text mining.
- Identify publicly available lexical resources and software packages used to access them.
Lexical resources contain a wealth of information on language and play an important role in most text mining applications. There are different types of lexical resources, ranging from simple word lists, which are often generated based on large collections of texts; to dictionaries, which also include phonetic transcriptions, definitions, usage examples, and other information on words; thesauruses and semantic networks, which also define similarity or other semantic relations between words; and concordances, which include ...