January 2012
Intermediate to advanced
1000 pages
28h 4m
English
book
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
by Gary D. Miner, John Elder, Andrew Fast, Thomas Hill, Robert Nisbet, Dursun Delen
Content preview from Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
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Tutorial P
A Hands-On Tutorial of Text Mining in PASW
Clustering and Sentiment Analysis Using Tweets from Twitter
Raja Kakarlapudi, Student, Department of Marketing, Oklahoma State University
Satish Garla, Student, Department of Marketing, Oklahoma State University
Dr. Goutam Chakraborty, Professor, Department of Marketing, Oklahoma State University
Contents
Introduction
Unstructured textual data such as customer interactions with call center support staff, product reviews given by customers on companies’ websites, customer responses from online surveys, and customer comments about products/services in blogs or on Twitter ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.