Micropinion Generation: An Unsupervised Approach to Generating Ultra-Concise Summaries of Opinions, Ganesan, Kavita A., Zhai ChengXiang, and Viegas Evelyne , Proceedings of the 21st International Conference on World Wide Web 2012 (WWW '12), (2012)

Abstract

This paper presents a new unsupervised approach to generating ultra-concise summaries of opinions. We formulate the problem of generating such a micropinion summary as an optimization problem, where we seek a set of concise and non-redundant phrases that are readable and represent key opinions in text. We measure representativeness based on a modified mutual information function and model readability with an n-gram language model. We propose some heuristic algorithms to efficiently solve this optimization problem.

Dataset Type: Text
Format: Topic oriented opinion sentences for 51 different topics
Domain: hotels, cars, products

Dataset Type: Text
Format: Full reviews from Tripadvisor and Edmunds
Domain: hotels, cars
Cite (source): Ganesan, K. A., and C. X. Zhai, "Opinion-Based Entity Ranking", Information Retrieval [ bib ]