Abstract
In this paper, the crucial ingredients for our submission to SemEval-2014 Task 4 “Aspect Level Sentiment Analysis” are discussed. We present a simple aspect detection algorithm, a co-occurrence based method for category detection and a dictionary based sentiment classification algorithm. The dictionary for the latter is based on co-occurrences as well. The failure analysis and related work section focus mainly on the category detection method as it is most distinctive for our work.
Cite
CITATION STYLE
Schouten, K., Frasincar, F., & de Jong, F. (2014). COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level 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. 203–207). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/s14-2032
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
