{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:21:25Z","timestamp":1750220485817,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T00:00:00Z","timestamp":1634860800000},"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":[],"published-print":{"date-parts":[[2021,10,22]]},"DOI":"10.1145\/3498765.3498770","type":"proceedings-article","created":{"date-parts":[[2022,2,8]],"date-time":"2022-02-08T23:55:20Z","timestamp":1644364520000},"page":"27-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Graph Learning Based Sentiment Analysis System for Chinese Course Evaluation"],"prefix":"10.1145","author":[{"given":"Jiajia","family":"Jiao","sequence":"first","affiliation":[{"name":"College of imformation and engineering, Shanghai Maritime University, China"}]},{"given":"Dongjue","family":"Chen","sequence":"additional","affiliation":[{"name":"College of imformation and engineering, Shanghai Maritime University, China"}]},{"given":"Bo","family":"Chen","sequence":"additional","affiliation":[{"name":"College of imformation and engineering, Shanghai Maritime University, China"}]}],"member":"320","published-online":{"date-parts":[[2022,2,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-08797-7"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1049\/joe.2019.1159"},{"key":"e_1_3_2_1_3_1","first-page":"504","article-title":"Reducing the Dimensionality of Data with Neural Networks[J]","volume":"2006","author":"Hinton G. E.","unstructured":"G. E. Hinton , R. R. Salakhutdinov . Reducing the Dimensionality of Data with Neural Networks[J] . Science , 2006 ,313(5786): 504 - 507 . G. E. Hinton, R. R. Salakhutdinov. Reducing the Dimensionality of Data with Neural Networks[J]. Science,2006,313(5786):504-507.","journal-title":"Science"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Kim Y. Convolutional Nerual Networks for Sentence Classification[C]. empirical methods in natural language processing 2014:1746-1751.  Kim Y. Convolutional Nerual Networks for Sentence Classification[C]. empirical methods in natural language processing 2014:1746-1751.","DOI":"10.3115\/v1\/D14-1181"},{"key":"e_1_3_2_1_5_1","first-page":"1343","volume-title":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing","author":"Wang Xin","year":"2015","unstructured":"Xin Wang , Yuanchao Liu , Chengjie Sun , Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory[C]. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing , 2015 ,1: 1343 - 1353 . Xin Wang, Yuanchao Liu, Chengjie Sun, Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory[C]. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, 2015,1:1343-1353."},{"key":"e_1_3_2_1_6_1","volume-title":"Universal onset detection with bidirectional long short-term memory neural networks[C]","author":"Florian Eyben","year":"2010","unstructured":"Eyben Florian , B\u00f6ck Sebastian , Schuller Bj\u00f6rn , Universal onset detection with bidirectional long short-term memory neural networks[C] . Utrecht : International Society for Music Information Retrieval , 2010 . Eyben Florian, B\u00f6ck Sebastian, Schuller Bj\u00f6rn, Universal onset detection with bidirectional long short-term memory neural networks[C]. Utrecht: International Society for Music Information Retrieval, 2010."},{"volume-title":"San Diego: International Conference on Learning Representations,2015","author":"Dzmitry Bahdanau","key":"e_1_3_2_1_7_1","unstructured":"Bahdanau Dzmitry , Cho KyungHyun , Bengio Yoshua . Neural machine translation by jointly learning to align and translate[C] . San Diego: International Conference on Learning Representations,2015 . Bahdanau Dzmitry, Cho KyungHyun, Bengio Yoshua. Neural machine translation by jointly learning to align and translate[C]. San Diego: International Conference on Learning Representations,2015."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Yequan Wang Minlie Huang Xiaoyan Zhu Attention-based LSTM for Aspect-level Sentiment Classification[J].Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing(EMNL) 2016:606-615.  Yequan Wang Minlie Huang Xiaoyan Zhu Attention-based LSTM for Aspect-level Sentiment Classification[J].Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing(EMNL) 2016:606-615.","DOI":"10.18653\/v1\/D16-1058"},{"key":"e_1_3_2_1_10_1","volume-title":"Graph convolutional networks for text classification[C]","author":"Liang Yao","year":"2019","unstructured":"Yao Liang , Mao Chengsheng , Luo Yuan . Graph convolutional networks for text classification[C] , Honolulu : AAAI Press , 2019 . Yao Liang, Mao Chengsheng, Luo Yuan. Graph convolutional networks for text classification[C], Honolulu: AAAI Press,2019."},{"key":"e_1_3_2_1_11_1","unstructured":"PANG Wei. Short text classification via term graph[EB\/OL]. [2020-10-11]. https:\/\/arxiv.org\/abs\/2001.10338.  PANG Wei. Short text classification via term graph[EB\/OL]. [2020-10-11]. https:\/\/arxiv.org\/abs\/2001.10338."},{"volume-title":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","author":"Zhang Chen","key":"e_1_3_2_1_12_1","unstructured":"Chen Zhang , Qiuchi Li and Dawei Song , Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks , Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) Chen Zhang, Qiuchi Li and Dawei Song, Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)"},{"key":"e_1_3_2_1_13_1","volume-title":"Semi-supervised classification with graph convolutional networks[J]. arXiv preprint arXiv:1609.02907","author":"Kipf T N","year":"2016","unstructured":"Kipf T N , Welling M. Semi-supervised classification with graph convolutional networks[J]. arXiv preprint arXiv:1609.02907 , 2016 . Kipf T N, Welling M. Semi-supervised classification with graph convolutional networks[J]. arXiv preprint arXiv:1609.02907, 2016."}],"event":{"name":"ICETC 2021: 2021 13th International Conference on Education Technology and Computers","acronym":"ICETC 2021","location":"Wuhan China"},"container-title":["Proceedings of the 13th International Conference on Education Technology and Computers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3498765.3498770","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3498765.3498770","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:07Z","timestamp":1750193347000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3498765.3498770"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,22]]},"references-count":13,"alternative-id":["10.1145\/3498765.3498770","10.1145\/3498765"],"URL":"https:\/\/doi.org\/10.1145\/3498765.3498770","relation":{},"subject":[],"published":{"date-parts":[[2021,10,22]]},"assertion":[{"value":"2022-02-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}