Analyzing product comparisons on discussion boards

Ronen Feldman*, Moshe Fresko, Jacob Goldenberg, Oded Netzer, Lyle Ungar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageAmerican English
Pages (from-to)399-408
Number of pages10
JournalLecture Notes in Computer Science
Volume8001
DOIs
StatePublished - 2014

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2014.

Keywords

  • Information extraction
  • Sentiment analysis
  • Text mining

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