{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T19:56:03Z","timestamp":1759694163749,"version":"3.41.0"},"reference-count":39,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2012,11,1]],"date-time":"2012-11-01T00:00:00Z","timestamp":1351728000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Inf. Syst."],"published-print":{"date-parts":[[2012,11]]},"abstract":"<jats:p>\n            The enormous amount of user-generated data available on the Web provides a great opportunity to understand, analyze, and exploit people\u2019s opinions on different topics. Traditional Information Retrieval methods consider the relevance of documents to a topic but are unable to differentiate between subjective and objective documents.\n            <jats:italic>Opinion retrieval<\/jats:italic>\n            is a retrieval task in which not only the relevance of a document to the topic is important but also the amount of opinion expressed in the document about the topic. In this article, we address the\n            <jats:italic>blog post opinion retrieval<\/jats:italic>\n            task and propose methods that rank blog posts according to their relevance and opinionatedness toward a topic. We propose estimating the opinion density at each position in a document using a general opinion lexicon and kernel density functions. We propose and investigate different models for aggregating the opinion density at query terms positions to estimate the opinion score of every document. We then combine the opinion score with the relevance score based on a probabilistic justification. Experimental results on the BLOG06 dataset show that the proposed method provides significant improvement over the standard TREC baselines. The proposed models also achieve much higher performance compared to all state of the art methods.\n          <\/jats:p>","DOI":"10.1145\/2382438.2382445","type":"journal-article","created":{"date-parts":[[2012,11,29]],"date-time":"2012-11-29T15:02:27Z","timestamp":1354201347000},"page":"1-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Aggregation Methods for Proximity-Based Opinion Retrieval"],"prefix":"10.1145","volume":"30","author":[{"given":"Shima","family":"Gerani","sequence":"first","affiliation":[{"name":"University of Lugano"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Carman","sequence":"additional","affiliation":[{"name":"Monash University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Crestani","sequence":"additional","affiliation":[{"name":"University of Lugano"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2012,11]]},"reference":[{"volume-title":"Proceedings of the 30th European Conference on IR Research (ECIR\u201908)","author":"Amati G.","key":"e_1_2_1_1_1","unstructured":"Amati , G. , Ambrosi , E. , Bianchi , M. , Gaibisso , C. , and Gambosi , G . 2008. Automatic construction of an opinion-term vocabulary for ad hoc retrieval . In Proceedings of the 30th European Conference on IR Research (ECIR\u201908) . 89--100. Amati, G., Ambrosi, E., Bianchi, M., Gaibisso, C., and Gambosi, G. 2008. Automatic construction of an opinion-term vocabulary for ad hoc retrieval. In Proceedings of the 30th European Conference on IR Research (ECIR\u201908). 89--100."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/775152.775226"},{"volume-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP\u201906)","author":"Eguchi K.","key":"e_1_2_1_3_1","unstructured":"Eguchi , K. and Lavrenko , V . 2006. Sentiment retrieval using generative models . In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP\u201906) . 345--354. Eguchi, K. and Lavrenko, V. 2006. Sentiment retrieval using generative models. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP\u201906). 345--354."},{"volume-title":"Proceedings of the 5th Conference on Language Resources and Evaluation (LREC\u201906)","author":"Esuli A.","key":"e_1_2_1_4_1","unstructured":"Esuli , A. and Sebastiani , F . 2006. Sentiwordnet: A publicly available lexical resource for opinion mining . In Proceedings of the 5th Conference on Language Resources and Evaluation (LREC\u201906) . 417--422. Esuli, A. and Sebastiani, F. 2006. Sentiwordnet: A publicly available lexical resource for opinion mining. In Proceedings of the 5th Conference on Language Resources and Evaluation (LREC\u201906). 417--422."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220476"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835517"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2010118"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458223"},{"volume-title":"Proceedings of the 17th Text REtrieval Conference (TREC\u201908)","author":"He B.","key":"e_1_2_1_9_1","unstructured":"He , B. , Macdonald , C. , Ounis , I. , Peng , J. , and Santos , R. L. T. 2008b. University of Glasgow at TREC 2008: Experiments in blog, enterprise, and relevance feedback tracks with terrier . In Proceedings of the 17th Text REtrieval Conference (TREC\u201908) . He, B., Macdonald, C., Ounis, I., Peng, J., and Santos, R. L. T. 2008b. University of Glasgow at TREC 2008: Experiments in blog, enterprise, and relevance feedback tracks with terrier. In Proceedings of the 17th Text REtrieval Conference (TREC\u201908)."},{"volume-title":"Proceedings of the 19th International Conference on Artifical Intelligence (AAAI\u201904)","author":"Hu M.","key":"e_1_2_1_10_1","unstructured":"Hu , M. and Liu , B . 2004. Mining opinion features in customer reviews . In Proceedings of the 19th International Conference on Artifical Intelligence (AAAI\u201904) . 755--760. Hu, M. and Liu, B. 2004. Mining opinion features in customer reviews. In Proceedings of the 19th International Conference on Artifical Intelligence (AAAI\u201904). 755--760."},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646075"},{"key":"e_1_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Hurst M. and Nigam K. 2004. Retrieving topical sentiments from online document collections. In Document Recognition and Retrieval XI. 27--34. Hurst M. and Nigam K. 2004. Retrieving topical sentiments from online document collections. In Document Recognition and Retrieval XI . 27--34.","DOI":"10.1117\/12.529422"},{"volume-title":"Proceedings of the 17th Text REtrieval Conference (TREC\u201908)","author":"Jia L.","key":"e_1_2_1_13_1","unstructured":"Jia , L. , Yu , C. T. , and Zhang , W . 2008. UIC at TREC 2008 blog track . In Proceedings of the 17th Text REtrieval Conference (TREC\u201908) . Jia, L., Yu, C. T., and Zhang, W. 2008. UIC at TREC 2008 blog track. In Proceedings of the 17th Text REtrieval Conference (TREC\u201908)."},{"volume-title":"Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL\u201910)","author":"Jijkoun V.","key":"e_1_2_1_14_1","unstructured":"Jijkoun , V. , de Rijke , M. , and Weerkamp , W . 2010. Generating focused topic-specific sentiment lexicons . In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL\u201910) . 585--594. Jijkoun, V., de Rijke, M., and Weerkamp, W. 2010. Generating focused topic-specific sentiment lexicons. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL\u201910). 585--594."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/258525.258587"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835631"},{"volume-title":"Proceedings of the 17th Text REtrieval Conference (TREC\u201908)","author":"Lee Y.","key":"e_1_2_1_17_1","unstructured":"Lee , Y. , Na , S.-H. , Kim , J. , Nam , S.-H. , Jung , H.-Y. , and Lee , J . -H. 2008. KLE at TREC 2008 blog track: Blog post and feed retrieval . In Proceedings of the 17th Text REtrieval Conference (TREC\u201908) . Lee, Y., Na, S.-H., Kim, J., Nam, S.-H., Jung, H.-Y., and Lee, J.-H. 2008. KLE at TREC 2008 blog track: Blog post and feed retrieval. In Proceedings of the 17th Text REtrieval Conference (TREC\u201908)."},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1571994"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390483"},{"key":"e_1_2_1_20_1","unstructured":"Macdonald C. and Ounis I. 2006. The TREC blogs06 collection: Creating and analysing a blog test collection. DCS Technical Report Series. Macdonald C. and Ounis I. 2006. The TREC blogs06 collection: Creating and analysing a blog test collection. DCS Technical Report Series."},{"volume-title":"Proceedings of the 16th Text REtrieval Conference (TREC\u201907)","author":"Macdonald C.","key":"e_1_2_1_21_1","unstructured":"Macdonald , C. , Ounis , I. , and Soboroff , I . 2007. Overview of the TREC-2007 blog track . In Proceedings of the 16th Text REtrieval Conference (TREC\u201907) . Macdonald, C., Ounis, I., and Soboroff, I. 2007. Overview of the TREC-2007 blog track. In Proceedings of the 16th Text REtrieval Conference (TREC\u201907)."},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/502585.502657"},{"volume-title":"Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP\u201904)","author":"Mullen T.","key":"e_1_2_1_23_1","unstructured":"Mullen , T. and Collier , N . 2004. Sentiment analysis using support vector machines with diverse information sources . In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP\u201904) . Mullen, T. and Collier, N. 2004. Sentiment analysis using support vector machines with diverse information sources. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP\u201904)."},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00958-7_76"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.1988.754637"},{"volume-title":"Proceedings of the 15th Text REtrieval Conference (TREC\u201906)","author":"Ounis I.","key":"e_1_2_1_26_1","unstructured":"Ounis , I. , de Rijke , M. , Macdonald , C. , Mishne , G. , and Soboroff , I . 2006. Overview of the TREC-2006 blog track . In Proceedings of the 15th Text REtrieval Conference (TREC\u201906) . Ounis, I., de Rijke, M., Macdonald, C., Mishne, G., and Soboroff, I. 2006. Overview of the TREC-2006 blog track. In Proceedings of the 15th Text REtrieval Conference (TREC\u201906)."},{"volume-title":"Proceedings of the 2008 International Conference on Webloging and Social Media (ICWSM\u201908)","author":"Ounis I.","key":"e_1_2_1_27_1","unstructured":"Ounis , I. , Macdonald , C. , and Soboroff , I . 2008a. On the TREC blog track . In Proceedings of the 2008 International Conference on Webloging and Social Media (ICWSM\u201908) . Ounis, I., Macdonald, C., and Soboroff, I. 2008a. On the TREC blog track. In Proceedings of the 2008 International Conference on Webloging and Social Media (ICWSM\u201908)."},{"volume-title":"Proceedings of the 17th Text REtrieval Conference (TREC\u201908)","author":"Ounis I.","key":"e_1_2_1_28_1","unstructured":"Ounis , I. , Macdonald , C. , and Soboroff , I . 2008b. Overview of the TREC-2008 blog track . In Proceedings of the 17th Text REtrieval Conference (TREC\u201908) . Ounis, I., Macdonald, C., and Soboroff, I. 2008b. Overview of the TREC-2008 blog track. 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Yang, K. 2008. Widit in trec 2008 blog track: Leveraging multiple sources of opinion evidence. In Proceedings of the 17th Text REtrieval Conference (TREC\u201908)."},{"volume-title":"Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM\u201903)","author":"Yi J.","key":"e_1_2_1_37_1","unstructured":"Yi , J. , Nasukawa , T. , Bunescu , R. , and Niblack , W . 2003. Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques . In Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM\u201903) . Yi, J., Nasukawa, T., Bunescu, R., and Niblack, W. 2003. Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques. In Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM\u201903)."},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390405"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/1321440.1321555"}],"container-title":["ACM Transactions on Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2382438.2382445","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2382438.2382445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T09:34:49Z","timestamp":1750239289000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2382438.2382445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,11]]},"references-count":39,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2012,11]]}},"alternative-id":["10.1145\/2382438.2382445"],"URL":"https:\/\/doi.org\/10.1145\/2382438.2382445","relation":{},"ISSN":["1046-8188","1558-2868"],"issn-type":[{"type":"print","value":"1046-8188"},{"type":"electronic","value":"1558-2868"}],"subject":[],"published":{"date-parts":[[2012,11]]},"assertion":[{"value":"2012-01-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2012-07-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2012-11-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}