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

Aitor García Pablos, Montse Cuadros, Germán Rigau · 2014

This paper presents V3, an unsupervised system for aspect-based Sentiment Analysis 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.

Read the paper · More papers on PaperTik