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

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About The Author

Gabe Ignatow

Rada F. Mihalcea

An Introduction to Text Mining (ePub/PDF) is the proper introduction for college students looking for to gather and consider textual information from on-line sources. It consists of essentially the most important points that they have to take into contemplation in any respect levels of their analysis tasks. Students in social science programs talk, socialize, be taught, store, and work on-line. When they’re requested to collect information for course tasks they’re usually drawn to social media platforms and different on-line sources of textual information. There are many software program packages and programming languages out there to assist college students gather information on-line, and there are various texts designed to help with completely different types of on-line analysis, from surveys to ethnographic interviews. But there is no such thing as a textbook out there that teaches college students how to make a viable analysis mission based mostly on on-line sources of textual information reminiscent of newspaper archives, website person remark archives, digitized historic paperwork, or social media person remark archives. Rada F. Mihalcea and Gabe Ignatow’s new textbook An Introduction to Text Mining: Research Design, Data Collection and Analysis can be a place to begin for undergraduates and first-yr graduate college students fascinated with gathering and analyzing textual information from on-line sources, and will embrace essentially the most important points that college students should take into accounts in any respect levels of their analysis tasks, together with philosophical and moral points; points associated to analysis design; strategic information choice; information sampling; internet scraping and crawling; use of particular textual content evaluation strategies; and report writing.

Reviews

In the period of huge information, this ebook is a superb introduction to textual content mining for undergraduates and starting graduate college students. The propagation of textual content as information notably in social media want the inclusion of this topic within the information evaluation toolkit of the social scientist.” — A. Victor Ferreros “This is a complete ebook on an applicable and vital analysis methodology for social scientific analysis. Researchers who need to be taught the event of textual content mining strategies and learn the way to incorporate the strategies into their analysis tasks will discover thise e-book helpful.” — Kenneth C. C. Yang “This ebook provides a wonderful base for budding information scientists and supplies instruments, strategies and references that can be exceptionally helpful of their work. Methods from a number of disciplines are mentioned intimately and supply an exquisite base for constructing enterprise applicable information mining tasks.” — Roger D. Clark “This is a superb ebook that features a broad vary of matters on textual content evaluation. Examples from a wide range of disciplines are used, making the ebook helpful to college students throughout the social sciences, humanities, and sciences and additionally out there to those that don’t have a deep background on this space.” — Jennifer Bachner NOTE: The product only consists of the ebook An Introduction to Text Mining in authentic ePub format. A transformed PDF is out there on request. No access codes are included.

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