Analyzing product comparisons on discussion boards

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

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Pages (from-to)399-408
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
StatePublished - 2014
Externally publishedYes

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2014.


  • Information extraction
  • Sentiment analysis
  • Text mining


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