{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T08:55:17Z","timestamp":1743152117165,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031215162"},{"type":"electronic","value":"9783031215179"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-21517-9_15","type":"book-chapter","created":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T08:03:18Z","timestamp":1671004998000},"page":"147-160","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Polarized Extractive Summarization of\u00a0Online Product Reviews"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8142-2293","authenticated-orcid":false,"given":"Gendeti Manjju Shree","family":"Devy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9820-5765","authenticated-orcid":false,"given":"Korupolu","family":"Saideepthi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0330-4398","authenticated-orcid":false,"given":"Varakala","family":"Sowmya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0826-847X","authenticated-orcid":false,"given":"Rajendra","family":"Prasath","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,15]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106658","volume":"213","author":"A Abdi","year":"2021","unstructured":"Abdi, A., Hasan, S., Shamsuddin, S.M., Idris, N., Piran, J.: A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion. Knowl.-Based Syst. 213, 106658 (2021)","journal-title":"Knowl.-Based Syst."},{"issue":"4","key":"15_CR2","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.ipm.2015.02.001","volume":"51","author":"A Abdi","year":"2015","unstructured":"Abdi, A., Idris, N., Alguliev, R.M., Aliguliyev, R.M.: Automatic summarization assessment through a combination of semantic and syntactic information for intelligent educational systems. Inf. Process. Manage. 51(4), 340\u2013358 (2015)","journal-title":"Inf. Process. Manage."},{"key":"15_CR3","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.procs.2013.09.090","volume":"22","author":"K Bafna","year":"2013","unstructured":"Bafna, K., Toshniwal, D.: Feature based summarization of customers\u2019 reviews of online products. Procedia Comput. Sci. 22, 142\u2013151 (2013)","journal-title":"Procedia Comput. Sci."},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. In: Proceedings of the Seventh International Conference on World Wide Web, no. 7, pp. 107\u2013117. WWW7, Elsevier Science Publishers B.V., NLD (1998)","DOI":"10.1016\/S0169-7552(98)00110-X"},{"key":"15_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113679","volume":"165","author":"WS El-Kassas","year":"2021","unstructured":"El-Kassas, W.S., Salama, C.R., Rafea, A.A., Mohamed, H.K.: Automatic text summarization: a comprehensive survey. Expert Syst. Appl. 165, 113679 (2021)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"15_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-015-0015-2","volume":"2","author":"X Fang","year":"2015","unstructured":"Fang, X., Zhan, J.: Sentiment analysis using product review data. J. Big Data 2(1), 1\u201314 (2015)","journal-title":"J. Big Data"},{"issue":"1","key":"15_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10462-016-9475-9","volume":"47","author":"M Gambhir","year":"2017","unstructured":"Gambhir, M., Gupta, V.: Recent automatic text summarization techniques: a survey. Artif. Intell. Rev. 47(1), 1\u201366 (2017)","journal-title":"Artif. Intell. Rev."},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Goldstein, J., Mittal, V.O., Carbonell, J.G., Kantrowitz, M.: Multi-document summarization by sentence extraction. In: NAACL-ANLP 2000 Workshop: Automatic Summarization (2000)","DOI":"10.3115\/1117575.1117580"},{"key":"15_CR9","doi-asserted-by":"crossref","unstructured":"Gong, Y., Liu, X.: Generic text summarization using relevance measure and latent semantic analysis. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 19\u201325 (2001)","DOI":"10.1145\/383952.383955"},{"issue":"3","key":"15_CR10","first-page":"258","volume":"2","author":"V Gupta","year":"2010","unstructured":"Gupta, V., Lehal, G.S.: A survey of text summarization extractive techniques. J. Emer. Technol. Web Intell. 2(3), 258\u2013268 (2010)","journal-title":"J. Emer. Technol. Web Intell."},{"issue":"1","key":"15_CR11","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1016\/j.ipm.2014.06.003","volume":"51","author":"JU Heu","year":"2015","unstructured":"Heu, J.U., Qasim, I., Lee, D.H.: Fodosu: multi-document summarization exploiting semantic analysis based on social folksonomy. Inf. Process. Manage. 51(1), 212\u2013225 (2015)","journal-title":"Inf. Process. Manage."},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.matcom.2020.12.009","volume":"185","author":"M Hong","year":"2021","unstructured":"Hong, M., Wang, H.: Research on customer opinion summarization using topic mining and deep neural network. Math. Comput. Simul. 185, 88\u2013114 (2021)","journal-title":"Math. Comput. Simul."},{"key":"15_CR13","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.eswa.2019.04.069","volume":"132","author":"T Hou","year":"2019","unstructured":"Hou, T., Yannou, B., Leroy, Y., Poirson, E.: Mining customer product reviews for product development: a summarization process. Exp. Syst. Appl. 132, 141\u2013150 (2019)","journal-title":"Exp. Syst. Appl."},{"issue":"6","key":"15_CR14","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1016\/j.ipm.2015.06.002","volume":"51","author":"M Kar","year":"2015","unstructured":"Kar, M., Nunes, S., Ribeiro, C.: Summarization of changes in dynamic text collections using latent dirichlet allocation model. Inf. Process. Manag. 51(6), 809\u2013833 (2015)","journal-title":"Inf. Process. Manag."},{"issue":"1","key":"15_CR15","first-page":"64","volume":"59","author":"A Khan","year":"2014","unstructured":"Khan, A., Salim, N.: A review on abstractive summarization methods. J. Theoret. Appl. Inf. Technol. 59(1), 64\u201372 (2014)","journal-title":"J. Theoret. Appl. Inf. Technol."},{"key":"15_CR16","doi-asserted-by":"publisher","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1746\u20131751. Association for Computational Linguistics, Doha (2014). https:\/\/doi.org\/10.3115\/v1\/D14-1181","DOI":"10.3115\/v1\/D14-1181"},{"key":"15_CR17","doi-asserted-by":"crossref","unstructured":"Li, X., Wu, P., Zou, C., Xie, H., Wang, F.L.: Sentiment lossless summarization. Knowl.-Based Syst. 227, 107170 (2021)","DOI":"10.1016\/j.knosys.2021.107170"},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Litvak, M., Last, M.: Graph-based keyword extraction for single-document summarization. In: Coling 2008: Proceedings of the Workshop Multi-source Multilingual Information Extraction and Summarization, pp. 17\u201324 (2008)","DOI":"10.3115\/1613172.1613178"},{"key":"15_CR19","doi-asserted-by":"crossref","unstructured":"Ly, D.K., Sugiyama, K., Lin, Z., Kan, M.Y.: Product review summarization from a deeper perspective. In: Proceedings of the 11th Annual International ACM\/IEEE Joint Conference on Digital Libraries, pp. 311\u2013314 (2011)","DOI":"10.1145\/1998076.1998134"},{"key":"15_CR20","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/978-981-13-0514-6_14","volume-title":"Soft Computing in Data Analytics","author":"C Mallick","year":"2019","unstructured":"Mallick, C., Das, A.K., Dutta, M., Das, A.K., Sarkar, A.: Graph-based text summarization using modified TextRank. In: Nayak, J., Abraham, A., Krishna, B.M., Chandra Sekhar, G.T., Das, A.K. (eds.) Soft Computing in Data Analytics. AISC, vol. 758, pp. 137\u2013146. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-13-0514-6_14"},{"key":"15_CR21","unstructured":"Mani, I., Maybury, M.T.: Automatic summarization. In: ACL, 39th Annual Meeting and 10th Conference of the European Chapter, Companion Volume to the Proceedings of the Conference: Proceedings of the Student Research Workshop and Tutorial Abstracts, p. 5, 9\u201311 July 2001, Toulouse, France. CNRS, Toulose, France (2001)"},{"key":"15_CR22","unstructured":"Mehta, P.: Survey on movie rating and review summarization in mobile environment. Int. J. Eng. Res. Technol. 2(3) (2013)"},{"key":"15_CR23","doi-asserted-by":"crossref","unstructured":"Mihalcea, R.: Graph-based ranking algorithms for sentence extraction, applied to text summarization. In: Proceedings of the ACL Interactive Poster and Demonstration Sessions, pp. 170\u2013173 (2004)","DOI":"10.3115\/1219044.1219064"},{"key":"15_CR24","unstructured":"Miller, D.: Leveraging BERT for extractive text summarization on lectures. arXiv preprint arXiv:1906.04165 (2019)"},{"key":"15_CR25","doi-asserted-by":"crossref","unstructured":"Moratanch, N., Chitrakala, S.: A survey on extractive text summarization. In: 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP), pp. 1\u20136. IEEE (2017)","DOI":"10.1109\/ICCCSP.2017.7944061"},{"issue":"1","key":"15_CR26","first-page":"121","volume":"7","author":"N Nazari","year":"2019","unstructured":"Nazari, N., Mahdavi, M.: A survey on automatic text summarization. J. AI Data Mining 7(1), 121\u2013135 (2019)","journal-title":"J. AI Data Mining"},{"issue":"3","key":"15_CR27","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/j.ipm.2014.02.001","volume":"50","author":"Y Sankarasubramaniam","year":"2014","unstructured":"Sankarasubramaniam, Y., Ramanathan, K., Ghosh, S.: Text summarization using Wikipedia. Inf. Process. Manage. 50(3), 443\u2013461 (2014)","journal-title":"Inf. Process. Manage."},{"key":"15_CR28","doi-asserted-by":"crossref","unstructured":"Tang, J., Yao, L., Chen, D.: Multi-topic based query-oriented summarization. In: Proceedings of the 2009 SIAM International Conference on Data Mining, pp. 1148\u20131159. SIAM (2009)","DOI":"10.1137\/1.9781611972795.98"},{"key":"15_CR29","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.engappai.2018.05.005","volume":"73","author":"WM Wang","year":"2018","unstructured":"Wang, W.M., Li, Z., Tian, Z., Wang, J., Cheng, M.: Extracting and summarizing affective features and responses from online product descriptions and reviews: a kansei text mining approach. Eng. Appl. Artif. Intell. 73, 149\u2013162 (2018)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"15_CR30","doi-asserted-by":"crossref","unstructured":"Wong, K.F., Wu, M., Li, W.: Extractive summarization using supervised and semi-supervised learning. In: Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), pp. 985\u2013992 (2008)","DOI":"10.3115\/1599081.1599205"},{"key":"15_CR31","doi-asserted-by":"crossref","unstructured":"Xu, X., Meng, T., Cheng, X.: Aspect-based extractive summarization of online reviews. In: Proceedings of the 2011 ACM Symposium on Applied Computing, pp. 968\u2013975 (2011)","DOI":"10.1145\/1982185.1982396"}],"container-title":["Lecture Notes in Computer Science","Mining Intelligence and Knowledge Exploration"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21517-9_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T08:06:46Z","timestamp":1671005206000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21517-9_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031215162","9783031215179"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21517-9_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"15 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIKE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Mining Intelligence and Knowledge Exploration","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hammamet","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tunisia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mike2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mike2021.sigappfr.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2-3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3-4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}