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Publication

iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries

Fritjof Bornebusch; Glaucia Cancino; Melanie Diepenbeck; Rolf Drechsler; Smith Djomkam; Alvine Fanseu; Maryam Jalali; Marc Michael; Jamal Mohsen; Max Nitze; Christina Plump; Mathias Soeken; Fred Tchambo; Toni Ziegler; Henning Ziegler
In: International Workshop on Semantic Evaluation - Proceedings. International Workshop on Semantic Evaluation (SemEval-14), 7th and 8th, August 29-30, Dublin, Ireland, 2014.

Abstract

This paper describes our approach for the fourth task of the SemEval 2014 challenge: Aspect Based Sentiment Analysis (ABSA). Our system is designed to solve all four sub-tasks: (i) identifying aspect terms, (ii) de-termining the polarity of an aspect term,(iii) detecting aspect categories, and (iv) de-termining the polarity of a predefined as-pect category. Our system is based on the Stanford sentiment tree.