Analyzing product comparisons on discussion boards

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

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.

Keywords

  • Information extraction
  • Sentiment analysis
  • Text mining

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Analyzing product comparisons on discussion boards'. Together they form a unique fingerprint.

Cite this