Paper: Multi-Granular Aspect Aggregation in Aspect-Based Sentiment Analysis

ACL ID E14-1009
Title Multi-Granular Aspect Aggregation in Aspect-Based Sentiment Analysis
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Aspect-based sentiment analysis estimates the sentiment expressed for each particu- lar aspect (e.g., battery, screen) of an en- tity (e.g., smartphone). Different words or phrases, however, may be used to re- fer to the same aspect, and similar as- pects may need to be aggregated at coarser or finer granularities to fit the available space or satisfy user preferences. We in- troduce the problem of aspect aggrega- tion at multiple granularities. We decom- pose it in two processing phases, to al- low previous work on term similarity and hierarchical clustering to be reused. We show that the second phase, where aspects are clustered, is almost a solved prob- lem, whereas further research is needed in the first phase, where semantic simi- larity measures are employed. We also introduce a nove...