Analyzing Product Comparisons On Discussion Boards
LANGUAGE, CULTURE, COMPUTATION: COMPUTING - THEORY AND TECHNOLOGY: ESSAYS DEDICATED TO YAACOV CHOUEKA ON THE OCCASION OF HIS 75TH BIRTHDAY, PT I(2014)
摘要
Product discussion boards are a rich source of information about consumer sentiment about products, which is being increasingly exploited. Most sentiment analysis has looked at single products in isolation, but users often compare different products, stating which they like better and why. We present a set of techniques for analyzing how consumers view product markets. Specifically, we extracted relative sentiment analysis and comparisons between products, to understand what attributes users compare products on, and which products they prefer on each dimension. We illustrate these methods in an extended case study analyzing the sedan car markets.
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关键词
sentiment analysis,information extraction,text mining
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