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

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schulze Wettendorf C, Jegan R, Körner A, Zerche J, Plotnikova N, Moreth J, Schertl T, Obermeyer V, Streil S, Willacker T, Evert S
Publishing place: Dublin, Ireland
Publication year: 2014
Conference Proceedings Title: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
Pages range: 578-584
Language: English


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.


FAU Authors / FAU Editors

Evert, Stefan Prof. Dr.
Lehrstuhl für Korpus- und Computerlinguistik


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.

BibTeX: 

Last updated on 2019-25-03 at 11:53