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Which side are you on?: identifying perspectives at the document and sentence levels
Open accessAbstract
In this paper we investigate a new problem of identifying the perspective from which a document is written. By perspective we mean a point of view, for example, from the perspective of Democrats or Republicans. Can computers learn to identify the perspective of a document? Not every sentence is written strongly from a perspective. Can computers learn to identify which sentences strongly convey a particular perspective? We develop statistical models to capture how perspectives are expressed at the document and sentence levels, and evaluate the proposed models on articles about the Israeli-Palestinian conflict. The results show that the proposed models successfully learn how perspectives are reflected in word usage and can identify the perspective of a document with high accuracy.
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Cited by
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Stance and Sentiment in Tweets
Mohammad, S. M., Sobhani, P., & Kiritchenko, S. (2017) · ACM Transactions on Internet Technology · doi:10.1145/3003433 · Cited by 449
Recognizing stances in online debates
Somasundaran, S., & Wiebe, J. (2009) · Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - ACL-IJCNLP '09 · doi:10.3115/1687878.1687912 · Cited by 303
Self-citationDetecting Stance in Tweets And Analyzing its Interaction with Sentiment
Sobhani, P., Mohammad, S., & Kiritchenko, S. (2016) · Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics · doi:10.18653/v1/s16-2021 · Cited by 130
That is your evidence?: Classifying stance in online political debate
Walker, M. A., Anand, P., Abbott, R., Tree, J. E. F., Martell, C., & King, J. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.05.032 · Cited by 104
Metadata
- Authors
- Lin, W.-H., Wilson, T., Wiebe, J., & Hauptmann, A.
- Venue
- Proceedings of the Tenth Conference on Computational Natural Language Learning - CoNLL-X '06
- Published
- 2006
- Pages
- 109
- OpenAlex
- W2149537132
- Cited by
- 269
- References
- 0
- FWCI
- 6.24
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Lin, W.-H., Wilson, T., Wiebe, J., & Hauptmann, A. (2006). Which side are you on?: identifying perspectives at the document and sentence levels. Proceedings of the Tenth Conference on Computational Natural Language Learning - CoNLL-X '06. https://doi.org/10.3115/1596276.1596297
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
