{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T05:51:01Z","timestamp":1779342661434,"version":"3.51.4"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319933719","type":"print"},{"value":"9783319933726","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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\/978-3-319-93372-6_22","type":"book-chapter","created":{"date-parts":[[2018,6,13]],"date-time":"2018-06-13T11:08:26Z","timestamp":1528888106000},"page":"197-206","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":243,"title":["Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks"],"prefix":"10.1007","author":[{"given":"Binxuan","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanglan","family":"Ou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kathleen M.","family":"Carley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,14]]},"reference":[{"key":"22_CR1","unstructured":"Bengio, Y., Ducharme, R., Vincent, P., Jauvin, C.: A neural probabilistic language model. J. Mach. Learn. Res. 3(Feb), 1137\u20131155 (2003)"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Cui, Y., Chen, Z., Wei, S., Wang, S., Liu, T., Hu, G.: Attention-over-attention neural networks for reading comprehension. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pp. 593\u2013602 (2017)","DOI":"10.18653\/v1\/P17-1055"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Ding, X., Liu, B.: The utility of linguistic rules in opinion mining. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 811\u2013812. ACM (2007)","DOI":"10.1145\/1277741.1277921"},{"key":"22_CR4","unstructured":"Glorot, X., Bordes, A., Bengio, Y.: Domain adaptation for large-scale sentiment classification: a deep learning approach. In: Proceedings of the 28th International Conference on Machine Learning (ICML-2011), pp. 513\u2013520 (2011)"},{"issue":"8","key":"22_CR5","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"22_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1007\/978-3-319-60240-0_34","volume-title":"Social, Cultural, and Behavioral Modeling","author":"B Huang","year":"2017","unstructured":"Huang, B., Carley, K.M.: On predicting geolocation of tweets using convolutional neural networks. In: Lee, D., Lin, Y.-R., Osgood, N., Thomson, R. (eds.) SBP-BRiMS 2017. LNCS, vol. 10354, pp. 281\u2013291. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-60240-0_34"},{"key":"22_CR7","unstructured":"Jiang, L., Yu, M., Zhou, M., Liu, X., Zhao, T.: Target-dependent twitter sentiment classification. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol, 1, pp. 151\u2013160. Association for Computational Linguistics (2011)"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1746\u20131751. Association for Computational Linguistics (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"22_CR9","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. In: Proceedings of the 3rd International Conference on Learning Representations (ICLR) (2015)"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Lai, S., Xu, L., Liu, K., Zhao, J.: Recurrent convolutional neural networks for text classification. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, vol. 333, pp. 2267\u20132273 (2015)","DOI":"10.1609\/aaai.v29i1.9513"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Liu, B., Blasch, E., Chen, Y., Shen, D., Chen, G.: Scalable sentiment classification for big data analysis using Naive Bayes classifier. In: 2013 IEEE International Conference on Big Data, pp. 99\u2013104. IEEE (2013)","DOI":"10.1109\/BigData.2013.6691740"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Ma, D., Li, S., Zhang, X., Wang, H.: Interactive attention networks for aspect-level sentiment classification. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-2017, pp. 4068\u20134074 (2017)","DOI":"10.24963\/ijcai.2017\/568"},{"issue":"4","key":"22_CR13","doi-asserted-by":"publisher","first-page":"1093","DOI":"10.1016\/j.asej.2014.04.011","volume":"5","author":"W Medhat","year":"2014","unstructured":"Medhat, W., Hassan, A., Korashy, H.: Sentiment analysis algorithms and applications: a survey. Ain Shams Eng. J. 5(4), 1093\u20131113 (2014)","journal-title":"Ain Shams Eng. J."},{"key":"22_CR14","doi-asserted-by":"crossref","unstructured":"Nasukawa, T., Yi, J.: Sentiment analysis: capturing favorability using natural language processing. In: Proceedings of the 2nd International Conference on Knowledge Capture, pp. 70\u201377. ACM (2003)","DOI":"10.1145\/945645.945658"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Neviarouskaya, A., Prendinger, H., Ishizuka, M.: Sentiful: generating a reliable lexicon for sentiment analysis. In: 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009, pp. 1\u20136. IEEE (2009)","DOI":"10.1109\/ACII.2009.5349575"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up?: sentiment classification using machine learning techniques. In: Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing, vol. 10, pp. 79\u201386. Association for Computational Linguistics (2002)","DOI":"10.3115\/1118693.1118704"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Pontiki, M., Galanis, D., Papageorgiou, H., Androutsopoulos, I., Manandhar, S., AL-Smadi, M., Al-Ayyoub, M., Zhao, Y., Qin, B., De Clercq, O., et al.: Semeval-2016 task 5: aspect based sentiment analysis. In: ProWorkshop on Semantic Evaluation (SemEval-2016), pp. 19\u201330. Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/S16-1002"},{"key":"22_CR19","unstructured":"Qiu, G., Liu, B., Bu, J., Chen, C.: Expanding domain sentiment lexicon through double propagation. In: Proceedings of the 21st International Jont Conference on Artifical Intelligence, vol. 9, pp. 1199\u20131204 (2009)"},{"key":"22_CR20","doi-asserted-by":"crossref","unstructured":"Socher, R., Perelygin, A., Wu, J., Chuang, J., Manning, C.D., Ng, A., Potts, C.: Recursive deep models for semantic compositionality over a sentiment treebank. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1631\u20131642 (2013)","DOI":"10.18653\/v1\/D13-1170"},{"issue":"1","key":"22_CR21","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"22_CR22","unstructured":"Sutskever, I., Martens, J., Dahl, G., Hinton, G.: On the importance of initialization and momentum in deep learning. In: International Conference on Machine Learning, pp. 1139\u20131147 (2013)"},{"issue":"2","key":"22_CR23","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1162\/COLI_a_00049","volume":"37","author":"M Taboada","year":"2011","unstructured":"Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Comput. Linguist. 37(2), 267\u2013307 (2011)","journal-title":"Comput. Linguist."},{"key":"22_CR24","unstructured":"Tang, D., Qin, B., Feng, X., Liu, T.: Effective LSTMs for target-dependent sentiment classification. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp. 3298\u20133307 (2016)"},{"key":"22_CR25","doi-asserted-by":"crossref","unstructured":"Tang, D., Qin, B., Liu, T.: 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 (2015)","DOI":"10.18653\/v1\/D15-1167"},{"key":"22_CR26","doi-asserted-by":"crossref","unstructured":"Tang, D., Qin, B., Liu, T.: Aspect level sentiment classification with deep memory network. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 214\u2013224 (2016)","DOI":"10.18653\/v1\/D16-1021"},{"key":"22_CR27","doi-asserted-by":"crossref","unstructured":"Wagner, J., Arora, P., Cortes, S., Barman, U., Bogdanova, D., Foster, J., Tounsi, L.: DCU: aspect-based polarity classification for semeval task 4 (2014)","DOI":"10.3115\/v1\/S14-2036"},{"key":"22_CR28","unstructured":"Wang, S., Manning, C.D.: Baselines and bigrams: simple, good sentiment and topic classification. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers-Volume 2. pp. 90\u201394. Association for Computational Linguistics (2012)"},{"key":"22_CR29","doi-asserted-by":"crossref","unstructured":"Wang, Y., Huang, M., Zhu, X., Zhao, L.: Attention-based LSTM for aspect-level sentiment classification. In: EMNLP, pp. 606\u2013615 (2016)","DOI":"10.18653\/v1\/D16-1058"},{"key":"22_CR30","unstructured":"Zhu, X., Sobihani, P., Guo, H.: Long short-term memory over recursive structures. In: International Conference on Machine Learning, pp. 1604\u20131612 (2015)"}],"container-title":["Lecture Notes in Computer Science","Social, Cultural, and Behavioral Modeling"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93372-6_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T03:14:47Z","timestamp":1751685287000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-93372-6_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319933719","9783319933726"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93372-6_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}