{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T12:44:34Z","timestamp":1777639474029,"version":"3.51.4"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2021,2,3]],"date-time":"2021-02-03T00:00:00Z","timestamp":1612310400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,3]],"date-time":"2021-02-03T00:00:00Z","timestamp":1612310400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100012456","name":"National Social Science Foundation","doi-asserted-by":"crossref","award":["19BYY076"],"award-info":[{"award-number":["19BYY076"]}],"id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Key R & D project of Shandong Province","award":["2019JZZY010129"],"award-info":[{"award-number":["2019JZZY010129"]}]},{"name":"Shandong Provincial Social Science Planning Project","award":["19BJCJ51"],"award-info":[{"award-number":["19BJCJ51"]}]},{"name":"Shandong Provincial Social Science Planning Project","award":["18CXWJ01"],"award-info":[{"award-number":["18CXWJ01"]}]},{"name":"Shandong Provincial Social Science Planning Project","award":["18BJYJ04"],"award-info":[{"award-number":["18BJYJ04"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1007\/s10489-021-02189-6","type":"journal-article","created":{"date-parts":[[2021,2,3]],"date-time":"2021-02-03T07:03:26Z","timestamp":1612335806000},"page":"6136-6147","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Syntactic and semantic analysis network for aspect-level sentiment classification"],"prefix":"10.1007","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3875-1742","authenticated-orcid":false,"given":"Dianyuan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenfang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyong","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangyuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peiyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,3]]},"reference":[{"key":"2189_CR1","doi-asserted-by":"crossref","unstructured":"Pontiki M, Galanis D, Pavlopoulos J, Papageorgiou H, Androutsopoulos I, Manandhar S (2014) SemEval-2014 Task 4: Aspect based sentiment analysis. In: International conference on computational linguistics, pp 27\u201335","DOI":"10.3115\/v1\/S14-2004"},{"issue":"3","key":"2189_CR2","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1109\/TKDE.2015.2485209","volume":"28","author":"K Schouten","year":"2016","unstructured":"Schouten K, Frasincar F (2016) Survey on Aspect-Level sentiment analysis. IEEE Trans Knowl Data Eng 28(3):813\u2013830","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"2189_CR3","unstructured":"Jiang L, Yu M, Zhou M, Liu X, Zhao T (2011) Target-dependent twitter sentiment classification. In: Meeting of the association for computational linguistics, pp 151\u2013160"},{"issue":"1","key":"2189_CR4","first-page":"39","volume":"22","author":"A Berger","year":"1996","unstructured":"Berger A, Della Pietra SA, Della Pietra VJ (1996) A maximum entropy approach to natural language processing. Computational linguistics 22(1):39\u201371","journal-title":"Computational linguistics"},{"key":"2189_CR5","unstructured":"Jiang L, Yu M, Zhou M, Liu X, Zhao T (2011) Target-dependent twitter sentiment classification. In: Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies, pp 151\u2013160"},{"key":"2189_CR6","doi-asserted-by":"crossref","unstructured":"Xue W, Li T (2018) 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), pp 2514\u20132523","DOI":"10.18653\/v1\/P18-1234"},{"key":"2189_CR7","unstructured":"Tang D, Qin B, Feng X, Liu T (2015) Effective LSTMs for target-dependent sentiment classification. In: International Conference on Computational Liguistics, pp 3298\u20133307"},{"key":"2189_CR8","unstructured":"Bahdanau D, Cho K, Bengio Y (2015) Neural machine translation by jointly learning to align and translate. In: 3Rd international conference on learning representations, ICLR 2015"},{"key":"2189_CR9","unstructured":"He R, Lee WS, Ng HT, Dahlmeier D (2018) Effective attention modeling for aspect-level sentiment classification. In: Proceedings of the 27th international conference on computational linguistics, pp 1121\u20131131"},{"key":"2189_CR10","doi-asserted-by":"crossref","unstructured":"Ma D, Li S, Zhang X, Wang H (2017) Interactive attention networks for aspect-level sentiment classification. In: Proceedings of the 26th international joint conference on artificial intelligence, pp 4068\u20134074","DOI":"10.24963\/ijcai.2017\/568"},{"key":"2189_CR11","doi-asserted-by":"crossref","unstructured":"Neethu M, Rajasree R (2013) Sentiment analysis in twitter using machine learning techniques. In: 2013 Fourth international conference on computing, communications and networking technologies (ICCCNT), IEEE, pp 1\u20135","DOI":"10.1109\/ICCCNT.2013.6726818"},{"key":"2189_CR12","doi-asserted-by":"crossref","unstructured":"Martineau JC, Finin T (2009) Delta tfidf: An improved feature space for sentiment analysis. In: Third international AAAI conference on weblogs and social media","DOI":"10.1609\/icwsm.v3i1.13979"},{"key":"2189_CR13","doi-asserted-by":"crossref","unstructured":"Tang D, Qin B, Liu T (2015) Document modeling with gated recurrent neural network for sentiment classification. In: Proceedings of the 2015 conference on empirical methods in natural language processing, pp 1422\u20131432","DOI":"10.18653\/v1\/D15-1167"},{"key":"2189_CR14","doi-asserted-by":"crossref","unstructured":"Tang D, Qin B, Liu T (2016) Aspect level sentiment classification with deep memory network. In: Proceedings of the 2016 conference on empirical methods in natural language processing, pp 214\u2013224","DOI":"10.18653\/v1\/D16-1021"},{"key":"2189_CR15","doi-asserted-by":"crossref","unstructured":"Mikolov T, Zweig G (2012) Context dependent recurrent neural network language model. In: 2012 IEEE spoken language technology workshop (SLT), IEEE, pp 234\u2013239","DOI":"10.1109\/SLT.2012.6424228"},{"key":"2189_CR16","doi-asserted-by":"crossref","unstructured":"Huang B, Carley KM (2018) Parameterized convolutional neural networks for aspect level sentiment classification. In: Proceedings of the 2018 conference on empirical methods in natural language processing, pp 1091\u20131096","DOI":"10.18653\/v1\/D18-1136"},{"key":"2189_CR17","doi-asserted-by":"crossref","unstructured":"Zhang M, Zhang Y (2016) Vo D-T Gated neural networks for targeted sentiment analysis. In: Thirtieth AAAI conference on artificial intelligence","DOI":"10.18653\/v1\/D15-1073"},{"key":"2189_CR18","doi-asserted-by":"crossref","unstructured":"Wang Y, Huang M, Zhu X, Zhao L (2016) Attention-based LSTM for aspect-level sentiment classification. In: Proceedings of the 2016 conference on empirical methods in natural language processing, pp 606\u2013615","DOI":"10.18653\/v1\/D16-1058"},{"key":"2189_CR19","unstructured":"Gu S, Zhang L, Hou Y, Song Y (2018) A position-aware bidirectional attention network for aspect-level sentiment analysis. In: Proceedings of the 27th international conference on computational linguistics, pp 774\u2013784"},{"key":"2189_CR20","doi-asserted-by":"crossref","unstructured":"Song Y, Wang J, Jiang T, Liu Z, Rao Y (2019) Attentional encoder network for targeted sentiment classification. arXiv:190209314","DOI":"10.1007\/978-3-030-30490-4_9"},{"key":"2189_CR21","doi-asserted-by":"crossref","unstructured":"Wagner J, Arora P, Cortes S, Barman U, Bogdanova D, Foster J, Tounsi L (2014) Dcu: Aspect-based polarity classification for semeval task 4. In: Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014), pp 223\u2013229","DOI":"10.3115\/v1\/S14-2036"},{"key":"2189_CR22","unstructured":"Devlin J, Chang M-W, Lee K, Toutanova K (2018) Bert: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 conference of the north american chapter of the association for computational linguistics: human language technologies, pp 4171\u20134186"},{"key":"2189_CR23","unstructured":"Glorot X, Bengio Y (2010) Understanding the difficulty of training deep feedforward neural networks. In: Proceedings of the thirteenth international conference on artificial intelligence and statistics, pp 249\u2013256"},{"key":"2189_CR24","doi-asserted-by":"crossref","unstructured":"Fan F, Feng Y, Zhao D (2018) Multi-grained attention network for aspect-level sentiment classification. In: Proceedings of the 2018 conference on empirical methods in natural language processing, pp 3433\u20133442","DOI":"10.18653\/v1\/D18-1380"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02189-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-021-02189-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02189-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T13:39:22Z","timestamp":1671025162000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-021-02189-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,3]]},"references-count":24,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2021,8]]}},"alternative-id":["2189"],"URL":"https:\/\/doi.org\/10.1007\/s10489-021-02189-6","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,3]]},"assertion":[{"value":"2 January 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}