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Using text mining to analyze user forums

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5 Author(s)
Ronen Feldman ; School of Business Administration in The Hebrew University of Jerusalem, Israel ; Moshe Fresko ; Jacob Goldenberg ; Oded Netzer
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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.

Published in:

2008 International Conference on Service Systems and Service Management

Date of Conference:

June 30 2008-July 2 2008