The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Sentiment analysis using product review data
Open accessAbstract
Sentiment analysis or opinion mining is one of the major tasks of NLP (Natural Language Processing). Sentiment analysis has gain much attention in recent years. In this paper, we aim to tackle the problem of sentiment polarity categorization, which is one of the fundamental problems of sentiment analysis. A general process for sentiment polarity categorization is proposed with detailed process descriptions. Data used in this study are online product reviews collected from Amazon.com. Experiments for both sentence-level categorization and review-level categorization are performed with promising outcomes. At last, we also give insight into our future work on sentiment analysis.
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Cites
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
Opinion Mining and Sentiment Analysis
Pang, B., & Lee, L. (2008) · now publishers, Inc. eBooks · doi:10.1561/9781601981516 · Cited by 6,720
Opinion mining and sentiment analysis
Pang, B., & Lee, L. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000011 · Cited by 6,372
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
Peter, P., & Turney (2002) · Cited by 3,650
Recognizing contextual polarity in phrase-level sentiment analysis
Wilson, T., Wiebe, J., & Hoffmann, P. (2005) · Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05 · doi:10.3115/1220575.1220619 · Cited by 3,345
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
Sentiment Analysis and Opinion Mining
Liu, B. (2012) · Synthesis Lectures on Human Language Technologies · doi:10.1007/978-3-031-02145-9 · Cited by 3,281
Sentiment Analysis and Opinion Mining
Zhang, L., & Liu, B. (2017) · Encyclopedia of Machine Learning and Data Mining · doi:10.1007/978-1-4899-7687-1_907 · Cited by 3,260
Twitter as a Corpus for Sentiment Analysis and Opinion Mining
Pak, A., & Paroubek, P. (2010) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/47akcj8foo4d · Cited by 2,704
Sentiment Analysis and Subjectivity
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Cited by
Transfer learning: a friendly introduction
Hosna, A., Merry, E., Gyalmo, J., Alom, Z., Aung, Z., & Azim, M. A. (2022) · Journal of Big Data · doi:10.1186/s40537-022-00652-w · Cited by 561
Comparing automated text classification methods
Hartmann, J., Huppertz, J., Schamp, C., & Heitmann, M. (2019) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2018.09.009 · Cited by 399
Content Analysis Using Specific Natural Language Processing Methods for Big Data
Pirnau, M., Botezatu, M. A., Priescu, I., Hosszu, A., Tabusca, A., Coculescu, C., & Oncioiu, I. (2024) · Electronics · doi:10.3390/electronics13030584 · Cited by 11
Cloud-Based Sentiment Analysis for Interactive Agents
Keijsers, M., Bartneck, C., & Kazmi, H. S. (2019) · Proceedings of the 7th International Conference on Human-Agent Interaction · doi:10.1145/3349537.3351883 · Cited by 9
Metadata
- Authors
- Fang, X., & Zhan, J.
- Venue
- Journal of Big Data
- Published
- 2015-06-16
- Volume
- 2
- Issue
- 1
- ISSN
- 2196-1115 (ISSN-L)
- OpenAlex
- W1572786359
- Cited by
- 788
- References
- 27
- FWCI
- 38.79
- Type
- journal article
- Language
- en
- Open access
- gold
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