Paper: Automatic generation of short informative sentiment summaries

ACL ID E12-1028
Title Automatic generation of short informative sentiment summaries
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

In this paper, we define a new type of summary for sentiment analysis: a single- sentence summary that consists of a sup- porting sentence that conveys the overall sentiment of a review as well as a convinc- ing reason for this sentiment. We present a system for extracting supporting sentences from online product reviews, based on a simple and unsupervised method. We de- sign a novel comparative evaluation method for summarization, using a crowdsourcing service. The evaluation shows that our sentence extraction method performs better than a baseline of taking the sentence with the strongest sentiment.