The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Movie review mining and summarization
Abstract
With the flourish of the Web, online review is becoming a more and more useful and important information resource for people. As a result, automatic review mining and summarization has become a hot research topic recently. Different from traditional text summarization, review mining and summarization aims at extracting the features on which the reviewers express their opinions and determining whether the opinions are positive or negative. In this paper, we focus on a specific domain - movie review. A multi-knowledge based approach is proposed, which integrates WordNet, statistical analysis and movie knowledge. The experimental results show the effectiveness of the proposed approach in movie review mining and summarization.
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Cites
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Mining and summarizing customer reviews
Hu, M., & Liu, B. (2004) · Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1014052.1014073 · Cited by 7,793
Thumbs up?: sentiment classification using machine learning techniques
Pang, B., Lee, L., & Vaithyanathan, S. (2002) · Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP '02 · doi:10.3115/1118693.1118704 · Cited by 7,024
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
Peter, P., & Turney (2002) · Cited by 3,650
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
Pang, B., & Lee, L. (2004) · Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04 · doi:10.3115/1218955.1218990 · Cited by 3,301
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
Turney, P. D. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02 · doi:10.3115/1073083.1073153 · Cited by 2,352
Pang, B., & Lee, L. (2005) · Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05 · doi:10.3115/1219840.1219855 · Cited by 2,129
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
Dave, K., Lawrence, S., & Pennock, D. M. (2003) · Proceedings of the twelfth international conference on World Wide Web - WWW '03 · doi:10.1145/775152.775226 · Cited by 1,916
Extracting product features and opinions from reviews
Popescu, A.-M., & Etzioni, O. (2005) · Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05 · doi:10.3115/1220575.1220618 · Cited by 1,698
Opinion observer: analyzing and comparing opinions on the Web
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Cited by
Sentiment Analysis and Opinion Mining
Zhang, L., & Liu, B. (2023) · Encyclopedia of Machine Learning and Data Science · doi:10.1007/978-1-4899-7502-7_907-2 · Cited by 518
Sentiment analysis of blogs by combining lexical knowledge with text classification
Melville, P., Gryc, W., & Lawrence, R. D. (2009) · Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1557019.1557156 · Cited by 503
A survey on aspect-based sentiment classification
Brauwers, G., & Frasincar, F. (2023) · ACM Computing Surveys · doi:10.1145/3503044 · Cited by 165
Identifying Controversial Issues and Their Sub-topics in News Articles
Choi, Y., Jung, Y., & Myaeng, S.-H. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-13601-6_16 · Cited by 59
Tourism, travel and tweets: algorithmic text analysis methodologies in tourism
Claster, W., Pardo, P., Cooper, M., & Tajeddini, K. (2013) · Middle East J. of Management · doi:10.1504/mejm.2013.054071 · Cited by 45
Metadata
- Authors
- Zhuang, L., Jing, F., & Zhu, X.-Y.
- Venue
- Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
- Publisher
- ACM Press
- Published
- 2006
- Pages
- 43
- OpenAlex
- W2112744748
- Cited by
- 894
- References
- 22
- Type
- conference abstract
- Language
- en
- Open access
- closed
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- Zhuang, L., Jing, F., & Zhu, X.-Y. (2006). Movie review mining and summarization. Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06. https://doi.org/10.1145/1183614.1183625
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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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