{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:35:36Z","timestamp":1726043736678},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030304898"},{"type":"electronic","value":"9783030304904"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-30490-4_11","type":"book-chapter","created":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T19:02:47Z","timestamp":1567969367000},"page":"117-129","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Imbalanced Sentiment Classification Enhanced with Discourse Marker"],"prefix":"10.1007","author":[{"given":"Tao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jizhong","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songlin","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,9]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"11_CR2","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. CoRR abs\/1810.04805 (2018). \n                      http:\/\/arxiv.org\/abs\/1810.04805"},{"key":"11_CR3","unstructured":"Dos Santos, C., Gatti, M.: Deep convolutional neural networks for sentiment analysis of short texts. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pp. 69\u201378 (2014)"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Fadaee, M., Bisazza, A., Monz, C.: Data augmentation for low-resource neural machine translation. arXiv preprint \n                      arXiv:1705.00440\n                      \n                     (2017)","DOI":"10.18653\/v1\/P17-2090"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"He, R., McAuley, J.: Ups and downs: modeling the visual evolution of fashion trends with one-class collaborative filtering. In: Proceedings of the 25th International Conference on World Wide Web, pp. 507\u2013517. International World Wide Web Conferences Steering Committee (2016)","DOI":"10.1145\/2872427.2883037"},{"issue":"8","key":"11_CR6","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":"11_CR7","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, pp. 168\u2013177. ACM (2004)","DOI":"10.1145\/1014052.1014073"},{"key":"11_CR8","unstructured":"Hu, Z., Yang, Z., Liang, X., Salakhutdinov, R., Xing, E.P.: Toward controlled generation of text. In: Proceedings of the 34th International Conference on Machine Learning-Volume 70, pp. 1587\u20131596. JMLR. org (2017)"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Jia, R., Liang, P.: Adversarial examples for evaluating reading comprehension systems. arXiv preprint \n                      arXiv:1707.07328\n                      \n                     (2017)","DOI":"10.18653\/v1\/D17-1215"},{"key":"11_CR10","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint \n                      arXiv:1412.6980\n                      \n                     (2014)"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Li, S., Zhou, G., Wang, Z., Lee, S.Y.M., Wang, R.: Imbalanced sentiment classification. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 2469\u20132472. ACM (2011)","DOI":"10.1145\/2063576.2063994"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Liu, B., Zhang, M., Ma, W., Li, X., Liu, Y., Ma, S.: A two-step information accumulation strategy for learning from highly imbalanced data. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 1289\u20131298. ACM (2017)","DOI":"10.1145\/3132847.3132940"},{"issue":"11","key":"11_CR13","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1109\/TCYB.2014.2372060","volume":"45","author":"WW Ng","year":"2015","unstructured":"Ng, W.W., Hu, J., Yeung, D.S., Yin, S., Roli, F.: Diversified sensitivity-based undersampling for imbalance classification problems. IEEE Trans. Cybern. 45(11), 2402\u20132412 (2015)","journal-title":"IEEE Trans. Cybern."},{"key":"11_CR14","unstructured":"Nie, A., Bennett, E.D., Goodman, N.D.: DisSent: sentence representation learning from explicit discourse relations. CoRR abs\/1710.04334 (2017). \n                      http:\/\/arxiv.org\/abs\/1710.04334"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L.: Seeing stars: exploiting class relationships for sentiment categorization with respect to rating scales. In: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pp. 115\u2013124. Association for Computational Linguistics (2005)","DOI":"10.3115\/1219840.1219855"},{"key":"11_CR16","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"11_CR17","unstructured":"Socher, R., et al.: 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)"},{"key":"11_CR18","unstructured":"Tang, D., Qin, B., Feng, X., Liu, T.: Effective LSTMs for target-dependent sentiment classification. arXiv preprint \n                      arXiv:1512.01100\n                      \n                     (2015)"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Tang, D., Qin, B., Liu, T.: Aspect level sentiment classification with deep memory network. arXiv preprint \n                      arXiv:1605.08900\n                      \n                     (2016)","DOI":"10.18653\/v1\/D16-1021"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Wu, F., Wu, C., Liu, J.: Imbalanced sentiment classification with multi-task learning. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 1631\u20131634. ACM (2018)","DOI":"10.1145\/3269206.3269325"},{"key":"11_CR21","unstructured":"Zhang, X., Zhao, J., LeCun, Y.: Character-level convolutional networks for text classification. In: Advances in Neural Information Processing Systems, pp. 649\u2013657 (2015)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2019: Text and Time Series"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30490-4_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T19:09:30Z","timestamp":1567969770000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30490-4_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030304898","9783030304904"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30490-4_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"9 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}