Abstract
The fast upswing of online reviews and their sentiments on the Web became very useful information to the people. Thus, the opinion/sentiment mining has been adopted as a subject of increasingly research interest in the recent years. Being a participant in the Shared Task Challenge, we have developed a Conditional Random Field based system to accomplish the Aspect Based Sentiment Analysis task. The aspect term in a sentence is defined as the target entity. The present system identifies aspect term, aspect categories and their sentiments from the Laptop and Restaurants review datasets provided by the organizers.
Cite
CITATION STYLE
Patra, B. G., Mandal, S., Das, D., & Bandyopadhyay, S. (2014). JU_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis. In 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings (pp. 370–374). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/s14-2063
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