An Introduction to Text Mining: Research Design, Data Collection and Analysis – eBook PDF

eBook details

  • Authors: Gabe Ignatow, Rada F. Mihalcea
  • File Size: 3 MB
  • Format: ePub
  • Length: 342 Pages
  • Publisher: SAGE Publications, Inc; 1st edition
  • Publication Date: September 22, 2017
  • Language: English
  • ASIN: B075Z3Q4PV
  • ISBN-10: 1506337007, 1506337015, 150633699X, 1506337023
  • ISBN-13: 9781506337005, 9780857023711, 9781611972740, 9781506337012

$43.99 $7.00

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An Introduction to Text Mining: Research Design, Data Collection and Analysis – eBook PDF

An Introduction to Text Mining (ePub/PDF) is the perfect introduction for students seeking to collect and evaluate textual data from online sources. It includes the most critical issues that they must take into contemplation at all stages of their research projects.

Students in social science courses communicate, socialize, learn, shop, and work online. When they are asked to gather data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students collect data online, and there are many texts designed to assist with different forms of online research, from surveys to ethnographic interviews.

But there is no textbook available that teaches students how to make a viable research project based on online sources of textual data such as newspaper archives, site user comment archives, digitized historical documents, or social media user comment archives.

Rada F. Mihalcea and Gabe Ignatow’s new textbook An Introduction to Text Mining: Research Design, Data Collection and Analysis will be a starting point for undergraduates and first-year graduate students interested in gathering and analyzing textual data from online sources, and will include the most critical issues that students must take into consideration at all stages of their research projects, including philosophical and ethical issues; issues related to research design; strategic data selection; data sampling; web scraping and crawling; use of specific text analysis methods; and report writing.


In the era of big data, this ebook is an excellent introduction to text mining for undergraduates and beginning graduate students. The propagation of text as data particularly in social media need the inclusion of this subject in the data analysis toolkit of the social scientist.” — A. Victor Ferreros

“This is a comprehensive ebook on an appropriate and important research method for social scientific research. Researchers who want to learn the development of text mining methods and learn how to incorporate the methods into their research projects will find thise book beneficial.” — Kenneth C. C. Yang

“This ebook offers an excellent base for budding data scientists and provides tools, methods and references that will be exceptionally useful in their work. Methods from several disciplines are discussed in detail and offer a wonderful base for building business appropriate data mining projects.” — Roger D. Clark

“This is an excellent ebook that includes a broad range of topics on text analysis. Examples from a variety of disciplines are used, making the ebook useful to students across the social sciences, humanities, and sciences and also available to those who do not have a deep background in this area.” — Jennifer Bachner

NOTE: The product only includes the ebook An Introduction to Text Mining in original ePub format. A converted PDF is available on request. No access codes are included.


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