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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.
This is the ideal introduction for students seeking to collect and
analyze textual data from online sources. It covers the most
critical issues that they must take into consideration at all
stages of their research projects.
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