{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T14:55:52Z","timestamp":1776351352677,"version":"3.51.2"},"reference-count":332,"publisher":"Emerald","issue":"1-2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,7,7]]},"abstract":"<jats:p>An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object.<\/jats:p>\n                  <jats:p>This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. Our focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. We include material on summarization of evaluative text and on broader issues regarding privacy, manipulation, and economic impact that the development of opinion-oriented information-access services gives rise to. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided.<\/jats:p>","DOI":"10.1561\/1500000011","type":"journal-article","created":{"date-parts":[[2008,7,24]],"date-time":"2008-07-24T05:02:14Z","timestamp":1216875734000},"page":"1-135","source":"Crossref","is-referenced-by-count":5480,"title":["Opinion Mining and Sentiment Analysis"],"prefix":"10.1561","volume":"2","author":[{"given":"Bo","family":"Pang","sequence":"first","affiliation":[{"name":"Yahoo! Research, 701 First Avenue , Sunnyvale, CA 94089,","place":["USA"]}]},{"given":"Lillian","family":"Lee","sequence":"additional","affiliation":[{"name":"Computer Science Department, Cornell University , Ithaca, NY 14853,","place":["USA"]}]}],"member":"140","published-online":{"date-parts":[[2008,7,7]]},"reference":[{"key":"2026040314322034500_ref001","first-page":"282","article-title":"\u201cAffect intensity analysis of dark web forums\u201d","author":"Abbasi","year":"2007","journal-title":"Proceedings of Intelligence and Security Informatics (1ST)"},{"key":"2026040314322034500_ref002","doi-asserted-by":"crossref","DOI":"10.1145\/1134271.1134277","article-title":"\u201cThe political blogosphere and the 2004 U.S. election: Divided they blog\u201d","author":"Adamic","year":"2005","journal-title":"Proceedings of LinkKDD"},{"key":"2026040314322034500_ref003","article-title":"\u201cSentiment analysis: A new approach for effective use of linguistic knowledge and exploiting similarities in a set of documents to be classified\u201d","author":"Agarwal","year":"2005","journal-title":"Proceedings of the International Conference on Natural Language Processing (ICON)"},{"key":"2026040314322034500_ref004","first-page":"529","article-title":"\u201cMining newsgroups using networks arising from social behavior\u201d","author":"Agrawal","year":"2003","journal-title":"Proceedings of WWW"},{"key":"2026040314322034500_ref005","first-page":"167","volume-title":"Lecture Notes in Computer Science","author":"Airoldi","year":"2006"},{"key":"2026040314322034500_ref006","doi-asserted-by":"crossref","first-page":"488","DOI":"10.2307\/1879431","article-title":"\u201cThe market for \u201cLemons\u201d: Quality uncertainty and the market mechanism\u201d","volume":"84","author":"Akerlof","year":"1970","journal-title":"The Quarterly Journal of Economics"},{"key":"2026040314322034500_ref007","first-page":"147","article-title":"\u201cSenseNet: A linguistic tool to visualize numerical-valence based sentiment of textual data (Poster paper)\u201d","author":"Al Masum","year":"2007","journal-title":"Proceedings of the International Conference on Natural Language Processing (ICON)"},{"key":"2026040314322034500_ref008","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/978-1-4615-0933-2","volume-title":"Topic Detection and Tracking: Event-based Information Organization","author":"Allan","year":"2002"},{"key":"2026040314322034500_ref009","article-title":"\u201cEmotions from text: Machine learning for text-based emotion prediction\u201d","author":"Alm","year":"2005","journal-title":"Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT\/EMNLP)"},{"key":"2026040314322034500_ref010","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s11280-006-0222-z","article-title":"\u201cSampling search-engine results\u201d","volume":"9","author":"Anagnostopoulos","year":"2006","journal-title":"World Wide Web"},{"key":"2026040314322034500_ref011","first-page":"1817","article-title":"\u201cA framework for learning predictive structures from multiple tasks and unlabeled data\u201d","volume":"6","author":"Ando","year":"2005","journal-title":"Journal of Machine Learning Research"},{"key":"2026040314322034500_ref012","article-title":"\u201cMining WordNet for a fuzzy sentiment: Sentiment tag extraction from WordNet glosses\u201d","author":"Andreevskaia","year":"2006","journal-title":"Proceedings of the European Chapter of the Association for Computational Linguistics (EACL)"},{"key":"2026040314322034500_ref013","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1111\/j.1540-6261.2004.00662.x","article-title":"\u201cIs all that talk just noise? 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