Paper: Automatic Identification Of Pro And Con Reasons In Online Reviews

ACL ID P06-2063
Title Automatic Identification Of Pro And Con Reasons In Online Reviews
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

In this paper, we present a system that automatically extracts the pros and cons from online reviews. Although many ap- proaches have been developed for ex- tracting opinions from text, our focus here is on extracting the reasons of the opinions, which may themselves be in the form of either fact or opinion. Leveraging online review sites with author-generated pros and cons, we propose a system for aligning the pros and cons to their sen- tences in review texts. A maximum en- tropy model is then trained on the result- ing labeled set to subsequently extract pros and cons from online review sites that do not explicitly provide them. Our experimental results show that our result- ing system identifies pros and cons with 66% precision and 76% recall.