{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T13:49:20Z","timestamp":1726408160941},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030010119"},{"type":"electronic","value":"9783030010126"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01012-6_12","type":"book-chapter","created":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T16:41:06Z","timestamp":1537288866000},"page":"147-157","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Joint Attention LSTM Network for Aspect-Level Sentiment Analysis"],"prefix":"10.1007","author":[{"given":"Guoyong","family":"Cai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,19]]},"reference":[{"issue":"1\u20132","key":"12_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\u20132), 1\u2013135 (2008)","journal-title":"Found. Trends\u00ae Inf. Retr."},{"issue":"1","key":"12_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00416ED1V01Y201204HLT016","volume":"5","author":"B Liu","year":"2012","unstructured":"Liu, B.: Sentiment analysis and opinion mining. Synth. Lect. Hum. Lang. Technol. 5(1), 1\u2013167 (2012)","journal-title":"Synth. Lect. Hum. Lang. Technol."},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Yin, W., Sch\u00fctze, H., Xiang, B., et al.: ABCNN: attention-based convolutional neural network for modeling sentence pairs. Computer Science (2015)","DOI":"10.1162\/tacl_a_00097"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Lample, G., Ballesteros, M., Subramanian, S., et al.: Neural architectures for named entity recognition, pp. 260\u2013270. arXiv:1603.01360 (2016)","DOI":"10.18653\/v1\/N16-1030"},{"key":"12_CR5","unstructured":"Golub, D., He, X.: Character-level question answering with attention. arXiv:1604.00727 [cs.CL] (2016)"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Li, Z., Zhang, Y., Wei, Y., et al.: End-to-end adversarial memory network for cross-domain sentiment classification. In: Proceedings of the International Joint Conference on Artificial Intelligence (2017)","DOI":"10.24963\/ijcai.2017\/311"},{"key":"12_CR7","unstructured":"Mnih, V., Heess, N., Graves, A.: Recurrent models of visual attention. In: Advances in Neural Information Processing Systems, pp. 2204\u20132212 (2014)"},{"key":"12_CR8","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. Computer Science (2014)"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Rush, A.M., Chopra, S., Weston, J.: A neural attention model for abstractive sentence summarization. Computer Science (2015)","DOI":"10.18653\/v1\/D15-1044"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM), pp. 168\u2013177 (2004)","DOI":"10.1145\/1014052.1014073"},{"key":"12_CR11","unstructured":"Yu, J., Zha, Z.J., Wang, M., et al.: Aspect ranking: identifying important product aspects from online consumer reviews. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol. 1, pp. 1496\u20131505. Association for Computational Linguistics (2011)"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Nguyen, T.H., Shirai K.: Phrasernn: phrase recursive neural network for aspect-based sentiment analysis. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (2015)","DOI":"10.18653\/v1\/D15-1298"},{"key":"12_CR13","unstructured":"Tang, D., Qin, B., Feng, X., et al.: Target-dependent sentiment classification with long short term memory. CoRR, abs\/1512.01100 (2015)"},{"key":"12_CR14","unstructured":"Lakkaraju, H., Socher, R., Manning, C.: Aspect specific sentiment analysis using hierarchical deep learning. In: NIPS Workshop on Deep Learning and Representation Learning (2014)"},{"issue":"8","key":"12_CR15","first-page":"1724","volume":"54","author":"B Liang","year":"2017","unstructured":"Liang, B., Liu, Q., Xu, J., et al.: Aspect-based sentiment analysis based on multi-attention CNN. J. Comput. Res. Dev. 54(8), 1724\u20131735 (2017)","journal-title":"J. Comput. Res. Dev."},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Wang, Y., Huang, M., Zhao, L.: Attention-based lstm for aspect-level sentiment classification. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 606\u2013615 (2016)","DOI":"10.18653\/v1\/D16-1058"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Cheng, J., Zhao, S., Zhang, J., et al.: Aspect-level sentiment classification with HEAT (HiErarchical ATtention) network. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (ACM), pp. 97\u2013106 (2017)","DOI":"10.1145\/3132847.3133037"}],"container-title":["Lecture Notes in Computer Science","Information Retrieval"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01012-6_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,24]],"date-time":"2019-10-24T10:40:12Z","timestamp":1571913612000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-01012-6_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030010119","9783030010126"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01012-6_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"CCIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guilin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccir2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ccir2018.gxnu.edu.cn\/","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"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"52","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"22","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"42% - 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"}},{"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"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}