Abstract
This paper describes the SNAP system, which participated in Task 4 of SemEval-2014: Aspect Based Sentiment Analysis. We use an XML-based pipeline that combines several independent components to perform each subtask. Key resources used by the system are Bing Liu’s sentiment lexicon, Stanford CoreNLP, RFTagger, several machine learning algorithms and WordNet. SNAP achieved satisfactory results in the evaluation, placing in the top half of the field for most subtasks.
Cite
CITATION STYLE
Wettendorf, C. S., Jegan, R., Körner, A., Zerche, J., Plotnikova, N., Moreth, J., … Evert, S. (2014). SNAP: A Multi-Stage XML-Pipeline for 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. 578–584). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/s14-2101
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