{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T08:13:36Z","timestamp":1772525616330,"version":"3.50.1"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031099168","type":"print"},{"value":"9783031099175","type":"electronic"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-09917-5_17","type":"book-chapter","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T19:03:14Z","timestamp":1656615794000},"page":"252-267","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Dual-Attention Based Joint Aspect Sentiment Classification Model"],"prefix":"10.1007","author":[{"given":"Ping","family":"Gu","sequence":"first","affiliation":[]},{"given":"Zhipeng","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,1]]},"reference":[{"key":"17_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000011","volume":"2","author":"B Pang","year":"2008","unstructured":"Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends\u00ae Inf. Retr. 2, 1\u2013135 (2008)","journal-title":"Found. Trends\u00ae Inf. Retr."},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Pontiki, M., et al.: SemEval-2016 task 5: aspect based sentiment analysis, pp. 19\u201330 (January 2016)","DOI":"10.18653\/v1\/S16-1002"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"Pontiki, M., Galanis, D., Papageorgiou, H., Manandhar, S., Androutsopoulos, I.: SemEval-2015 task 12: aspect based sentiment analysis. In: Proceedings of the 9th International Workshop on Semantic Evaluation, SemEval 2015, Denver, Colorado, June 2015, pp. 486\u2013495. Association for Computational Linguistics (2015)","DOI":"10.18653\/v1\/S15-2082"},{"key":"17_CR4","unstructured":"Yarowsky, D., Baldwin, T., Korhonen, A., Livescu, K., Bethard, S., (eds.): Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, Seattle, Washington, USA, October 2013. Association for Computational Linguistics (2013)"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Hu, M., Peng, Y., Huang, Z., Li, D., Lv, Y.: Open-domain targeted sentiment analysis via span-based extraction and classification. CoRR, vol. abs\/1906.03820 (2019)","DOI":"10.18653\/v1\/P19-1051"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Cai, H., Tu, Y., Zhou, X., Yu, J., Xia, R.: Aspect-category based sentiment analysis with hierarchical graph convolutional network. In: Proceedings of the 28th International Conference on Computational Linguistics, Barcelona, Spain (Online), December 2020, pp. 833\u2013843. International Committee on Computational Linguistics (2020)","DOI":"10.18653\/v1\/2020.coling-main.72"},{"key":"17_CR7","doi-asserted-by":"crossref","unstructured":"Li, Y., Yin, C., Zhong, S.-H., Pan, X.: Multi-instance multi-label learning networks for aspect-category sentiment analysis. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), (Online), November 2020, pp. 3550\u20133560. Association for Computational Linguistics (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.287"},{"key":"17_CR8","unstructured":"A joint model for aspect-category sentiment analysis with contextualized aspect embedding. CoRR, vol. abs\/1908.11017 (2019). Withdrawn"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Zhou, X., Wan, X., Xiao, J.: Representation learning for aspect category detection in online reviews. In: AAAI (2015)","DOI":"10.1609\/aaai.v29i1.9194"},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Wang, Y., Huang, M., Zhu, X., Zhao, L.: Attention-based LSTM for aspect-level sentiment classification. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, Texas, November 2016, pp. 606\u2013615. Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/D16-1058"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Tay, Y., Luu, A.T., Hui, S.C.: Learning to attend via word-aspect associative fusion for aspect-based sentiment analysis. CoRR, vol. abs\/1712.05403 (2017)","DOI":"10.1609\/aaai.v32i1.12049"},{"key":"17_CR12","unstructured":"Hu, M., et al.: CAN: constrained attention networks for multi-aspect sentiment analysis. CoRR, vol. abs\/1812.10735 (2018)"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Xue, W., Li, T.: Aspect based sentiment analysis with gated convolutional networks. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Melbourne, Australia, pp. 2514\u20132523, July 2018. Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/P18-1234"},{"key":"17_CR14","unstructured":"Chi, S., Huang, L., Qiu, X.: Utilizing bert for aspect-based sentiment analysis via constructing auxiliary sentence (March 2019)"},{"key":"17_CR15","doi-asserted-by":"crossref","unstructured":"Cheng, J., Zhao, S., Zhang, J., King, I., Zhang, X., Wang, H.: Aspect-level sentiment classification with HEAT (HiErarchical ATtention) network, pp. 97\u2013106. Association for Computing Machinery, New York (2017)","DOI":"10.1145\/3132847.3133037"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Schmitt, M., Steinheber, S., Schreiber, K., Roth, B.: Joint aspect and polarity classification for aspect-based sentiment analysis with end-to-end neural networks. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October\u2013November 2018, pp. 1109\u20131114. Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/D18-1139"},{"key":"17_CR17","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. CoRR, vol. abs\/1609.02907 (2016)"},{"key":"17_CR18","doi-asserted-by":"publisher","first-page":"3769","DOI":"10.1007\/s00521-020-05221-x","volume":"33","author":"Y Lv","year":"2021","unstructured":"Lv, Y., Wei, F., Zheng, Y., et al.: A span-based model for aspect terms extraction and aspect sentiment classification. Neural Comput. Appl. 33, 3769\u20133779 (2021). https:\/\/doi.org\/10.1007\/s00521-020-05221-x","journal-title":"Neural Comput. Appl."}],"container-title":["Lecture Notes in Computer Science","Web Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-09917-5_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T19:05:20Z","timestamp":1656615920000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-09917-5_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031099168","9783031099175"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-09917-5_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICWE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icwe2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icwe2022.webengineering.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"81","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":"5","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":"28% - 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":"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","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}