SNAP: A Multi-Stage XML-Pipeline for Aspect Based Sentiment Analysis

Schulze Wettendorf C, Jegan R, Körner A, Zerche J, Plotnikova N, Moreth J, Schertl T, Obermeyer V, Streil S, Willacker T, Evert S (2014)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

City/Town: Dublin, Ireland

Pages Range: 578-584

Conference Proceedings Title: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

URI: http://www.aclweb.org/anthology/S14-2101

Open Access Link: http://www.aclweb.org/anthology/S14-2101

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.

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How to cite

APA:

Schulze Wettendorf, C., 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 Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) (pp. 578-584). Dublin, Ireland.

MLA:

Schulze Wettendorf, Clemens, et al. "SNAP: A Multi-Stage XML-Pipeline for Aspect Based Sentiment Analysis." Proceedings of the Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) Dublin, Ireland, 2014. 578-584.

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