{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:40:21Z","timestamp":1757619621382,"version":"3.44.0"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819500130"},{"type":"electronic","value":"9789819500147"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-95-0014-7_21","type":"book-chapter","created":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T10:06:23Z","timestamp":1753351583000},"page":"245-256","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["BERTFAN: Multi-Layer Feature Fusion and Data Augmentation for Sentiment Analysis"],"prefix":"10.1007","author":[{"given":"Feilong","family":"Wang","sequence":"first","affiliation":[]},{"given":"Zuohua","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Hongyun","family":"Huang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,25]]},"reference":[{"issue":"1","key":"21_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-021-00776-6","volume":"11","author":"P Nandwani","year":"2021","unstructured":"Nandwani, P., Verma, R.: A review on sentiment analysis and emotion detection from text. Soc. Netw. Anal. Min. 11(1), 1\u201319 (2021)","journal-title":"Soc. Netw. Anal. Min."},{"key":"21_CR2","doi-asserted-by":"publisher","first-page":"107134","DOI":"10.1016\/j.knosys.2021.107134","volume":"226","author":"M Birjali","year":"2021","unstructured":"Birjali, M., Kasri, M., Beni-Hssane, A.: A comprehensive survey on sentiment analysis: approaches, challenges and trends. Know.-Based Syst. 226, 107134 (2021). https:\/\/doi.org\/10.1016\/j.knosys.2021.107134","journal-title":"Know.-Based Syst."},{"issue":"3","key":"21_CR3","first-page":"27","volume":"8","author":"M Ahmad","year":"2017","unstructured":"Ahmad, M., Aftab, S., Muhammad, S.S., Ahmad, S.: Machine learning techniques for sentiment analysis: a review. Int. J. Multidisc. Sci. Eng. 8(3), 27\u201335 (2017)","journal-title":"Int. J. Multidisc. Sci. Eng."},{"key":"21_CR4","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding (2018). arXiv preprint arXiv:1810.04805"},{"key":"21_CR5","doi-asserted-by":"crossref","unstructured":"Wei, J.W., Zou, K.: EDA: Easy data augmentation techniques for boosting performance on text classification tasks. In: Proceedings of EMNLP, pp. 6382\u20136388 (2019)","DOI":"10.18653\/v1\/D19-1670"},{"key":"21_CR6","unstructured":"Dai, H., et al.: AugGPT: Leveraging ChatGPT for text data augmentation (2023). arXiv preprint arXiv:2302.13007"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Hadi, M.U., et al.: Large language models: a comprehensive survey of its applications, challenges, limitations and future prospects (2023). arXiv preprint arXiv:2303.18074","DOI":"10.36227\/techrxiv.23589741"},{"key":"21_CR8","unstructured":"Zhou, P., et al.: Text classification improved by integrating bidirectional LSTM with two-dimensional max pooling (2016). arXiv preprint arXiv:1611.06639"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Wang, R., et al.: Convolutional recurrent neural networks for text classification. In: Proceedings of IJCNN, pp. 1\u20136 (2019)","DOI":"10.1109\/IJCNN.2019.8852406"},{"key":"21_CR10","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: ICLR (2015)"},{"key":"21_CR11","unstructured":"Lin, Z., et al.: A structured self-attentive sentence embedding. In: ICLR, pp. 1\u201315 (2017)"},{"issue":"12","key":"21_CR12","doi-asserted-by":"publisher","first-page":"1906","DOI":"10.3390\/electronics11121906","volume":"11","author":"Y Mao","year":"2022","unstructured":"Mao, Y., Zhang, Y., Jiao, L., Zhang, H.: Document-level sentiment analysis using attention-based bi-directional long short-term memory network and two-dimensional convolutional neural network. Electronics 11(12), 1906 (2022)","journal-title":"Electronics"},{"key":"21_CR13","doi-asserted-by":"publisher","first-page":"101182","DOI":"10.1016\/j.csl.2020.101182","volume":"68","author":"J Deng","year":"2021","unstructured":"Deng, J., Cheng, L., Wang, Z.: Attention-based BiLSTM fused CNN with gating mechanism model for Chinese long text classification. Comput. Speech Lang. 68, 101182 (2021). https:\/\/doi.org\/10.1016\/j.csl.2020.101182","journal-title":"Comput. Speech Lang."},{"issue":"1","key":"21_CR14","doi-asserted-by":"publisher","first-page":"012057","DOI":"10.1088\/1742-6596\/1229\/1\/012057","volume":"1229","author":"J Wenzhen","year":"2019","unstructured":"Wenzhen, J., Hong, Z., Guocai, Y.: An efficient character-level and word-level feature fusion method for Chinese text classification. J. Phys. Conf. Ser. 1229(1), 012057 (2019). https:\/\/doi.org\/10.1088\/1742-6596\/1229\/1\/012057","journal-title":"J. Phys. Conf. Ser."},{"issue":"11","key":"21_CR15","doi-asserted-by":"publisher","first-page":"4157","DOI":"10.3390\/s22114157","volume":"22","author":"NJ Prottasha","year":"2022","unstructured":"Prottasha, N.J., et al.: Transfer learning for sentiment analysis using BERT based supervised fine-tuning. Sensors 22(11), 4157 (2022)","journal-title":"Sensors"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-0014-7_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T21:53:00Z","timestamp":1757281980000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-0014-7_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819500130","9789819500147"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-0014-7_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}