[Retracted] Emotion Analysis Based on Neural Network under the Big Data Environment

JunminZ. Application research of deep learning in natural language processing 2019.

10.1109/TSMC.1983.6313076

10.1016/j.neucom.2019.09.012

10.1109/TCYB.2018.2813971

ChenP. SunZ. BingL. andYangW. Recurrent attention network on memory for aspect sentiment analysis Conference on Empirical Methods in Natural Language Processing 2017 Copenhagen Denmark 452–461 https://doi.org/10.18653/v1/d17-1047.

EsuliA.andSebastianiF. Sentiwordnet: A Publicly Available Lexical Resource for Opinion Mining Proceedings of the Proceedings of LREC F 2006 Citeseer.

WangY. HuangM. ZhuX. andZhaoL. Attention-based LSTM for aspect-level sentiment classification Proceedings of the 2016 conference on empirical methods in natural language processing 2016 Austin Texas 606–615 https://doi.org/10.18653/v1/d16-1058.

10.1109/tai.2021.3111138

KipfT. N.andWellingM. Semi-supervised classification with graph convolutional networks 2016 Ar xiv preprint ar Xiv: 1609.02907.

10.1007/978-981-15-5959-4_53

10.1561/1500000011

ZhangH. PanF. DongJ. andZhouY. BERT-IAN Model for Aspect-based Sentiment Analysis 2020 International Conference on Communications Information System and Computer Engineering (CISCE) 2020 Kuala Lumpur Malaysia 250–254 https://doi.org/10.1109/cisce50729.2020.00056.

10.12783/dtetr/apetc2017/11379

10.1017/CBO9781139084789

PangB. LeeL. andVaithyanathanS. Thumbs up: sentiment classification using machine learning techniques.

10.1162/neco.1997.9.8.1735

FakeL. T. Reviews: The Malicious Perspective International Conference on Application of Natural Language to Information Systems 2012 Springer Berlin Heidelberg.

10.1016/j.procs.2021.01.061

NiuL. DaiX. andZhangJ. Topic 2Vec: learning distributed representations of topics 2015 international conference on Asian language processing (IALP). Natural language processing research group Department of Computer Science and Technology National Key Laboratory for Novel Software Technology 2015 Nanjing University 210023 China.

ChengJ. ZhaoS. ZhangJ. KingI. ZhangX. andWangH. Aspect-level sentiment classification with heat (hierarchical attention) network Proceedings of the 2017 ACM on Conference on Information and Knowledge Management 2017 New York NY USA 97–106 https://doi.org/10.1145/3132847.3133037 2-s2.0-85037365818.

HuX. TangJ. GaoH. andLiuH. Unsupervised sentiment analysis with emotional signals Proceedings of the 22nd international conference on World Wide Web - WWW '13 2013 New York NY USA 607–618 https://doi.org/10.1145/2488388.2488442.

10.1016/j.dss.2012.05.028

DevlinJ. ChangM. W. andLeeK. Bert: Pre-training of deep bidirectional transformers for language understanding 2018 ar Xiv preprint ar Xiv: 1810.04805.

SocherR. HuvalB. andManningC. D. Semantic compositionality through recursive matrix-vector spaces Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning 2012 Jeju Island Korea 1201–1211.

Tai K. S., 2015, Improved semantic representations from tree-structured long short-term memory networks, Computer Science, 5

ZengD. LiuK. ChenY. andZhaoJ. Distant supervision for relation extraction via piecewise convolutional neural networks Conference Proceedings-EMNLP 2015: Conference on Empirical Methods in Natural Language Processing 2015 Lisbon Portugal 1753–1762 https://doi.org/10.18653/v1/d15-1203.

MuellerJ.andThyagarajanA. Siamese recurrent architectures for learning sentence similarity Proceedings of the AAAI conference on artificial intelligence 2016.

10.1016/j.asej.2014.04.011

10.1016/j.neunet.2014.09.003

Wang K., 2020, Recurrent attention network on memory for aspect sentiment analysis, arXiv preprint arXiv:2004

KaimingH. XiangyuZ. andShaoqingR. Deep Residual Learning for Image Recognition Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2016 Piscataway: IEEE Press 770–778.

JunminZ. Application research of deep learning in natural language processing 2019.

10.1016/j.chb.2013.05.024