The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Determining the sentiment of opinions
Open accessAbstract
Identifying sentiments (the affective parts of opinions) is a challenging problem.We present a system that, given a topic, automatically finds the people who hold opinions about that topic and the sentiment of each opinion.The system contains a module for determining word sentiment and another for combining sentiments within a sentence.We experiment with various models of classifying and combining sentiment at word and sentence levels, with promising results.
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Toulmin, S. E. (2003) · doi:10.1017/cbo9780511840005 · Cited by 7,101
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Metadata
- Authors
- Kim, S.-M., & Hovy, E.
- Venue
- Proceedings of the 20th international conference on Computational Linguistics - COLING '04
- Published
- 2004
- Pages
- 1367-es
- ISSN
- 1525-2477 (ISSN-L)
- OpenAlex
- W2112422413
- Cited by
- 1,482
- References
- 1
- FWCI
- 14.31
- Type
- conference paper
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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