Paper: Opinion Mining on YouTube

ACL ID P14-1118
Title Opinion Mining on YouTube
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing ro- bust shallow syntactic structures for im- proving model adaptability. We rely on the tree kernel technology to automatically ex- tract and learn features with better gener- alization power than bag-of-words. An ex- tensive empirical evaluation on our manu- ally annotated YouTube comments corpus shows a high classification accuracy and highlights the benefits of structural mod- els in a cross-domain setting.