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.
Feldman, Ronen, Moshe Fresko, Jacob Goldenberg, Oded Netzer, and Lyle Ungar. "Analyzing Product Comparisons on Discussion Boards." In Language, Culture, Computation: Computing -- Theory and Technology, 399-408. Berlin, Heidelberg: Springer-Verlag, 2014.
Each author name for a Columbia Business School faculty member is linked to a faculty research page, which lists additional publications by that faculty member.
Each topic is linked to an index of publications on that topic.