Text Mining: A Guidebook for the Social Sciences

This practical book provides researchers strategic and practical guidance on using text mining methods to analyze large text collections more efficiently and productively. Text Mining and Analysis is a comprehensive book that deals with the latest developments of text mining research, methodology, and applications. An excellent choice for anyone who wants to learn how these emerging practices can benefit their own research in an era of Big Data. This is a clear, comprehensive and thorough description of new text mining techniques and their applications: a "must" for students and social researchers who wish to understand how to tackle the challenges raised by Big Data. Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.

• | Author: Gabe Ignatow, Rada F. Mihalcea
• | Publisher: SAGE Publications Inc
• | Publication Date: Jul 13, 2016
• | Number of Pages:
• | Language:
• | Binding: Paperback / softback
• | ISBN-13: 9781483369341
• | ISBN-10: 148336934X