Paper: V3: Unsupervised Generation of Domain Aspect Terms for Aspect Based Sentiment Analysis

ACL ID S14-2148
Title V3: Unsupervised Generation of Domain Aspect Terms for Aspect Based Sentiment Analysis
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper presents V3, an unsupervised system for aspect-based Sentiment Analy- sis when evaluated on the SemEval 2014 Task 4. V3 focuses on generating a list of aspect terms for a new domain using a collection of raw texts from the domain. We also implement a very basic approach to classify the aspect terms into categories and assign polarities to them.