document: Analyzing online discussion for marketing intelligence We present a system that gathers and analyzes online discussion as it relates to consumer products . Weblogs and online message boards provide forums that record the voice of the public . Woven into this discussion is a wide range of opinion and commentary about consumer products . Given its volume , format and content , the appropriate approach to understanding this data is large-scale web and text data mining . By using a wide variety of state-of-the-art techniques including crawling , wrapping , text classification and computational linguistics , online discussion is gathered and annotated within a framework that provides for interactive analysis that yields marketing intelligence for our customers .
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