{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T06:17:40Z","timestamp":1770963460930,"version":"3.50.1"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T00:00:00Z","timestamp":1628553600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T00:00:00Z","timestamp":1628553600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71701099"],"award-info":[{"award-number":["71701099"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012149","name":"National Key Scientific Instrument and Equipment Development Projects of China","doi-asserted-by":"publisher","award":["2018YFC0830400"],"award-info":[{"award-number":["2018YFC0830400"]}],"id":[{"id":"10.13039\/501100012149","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Computing"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s00607-021-00989-9","type":"journal-article","created":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T12:02:42Z","timestamp":1628596962000},"page":"4231-4248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Research on sentiment classification of futures predictive texts based on BERT"],"prefix":"10.1007","volume":"106","author":[{"given":"Weng","family":"Xiaofeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhao","family":"Jinghua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang","family":"Chenxi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji","family":"Yiying","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,10]]},"reference":[{"key":"989_CR1","doi-asserted-by":"crossref","unstructured":"Zhang X, Fuehres H, Gloor PA (2011) Predicting stock market indicators through twitter \u201cI hope it is not as bad as I fear. Proc-Soc Behav Sci 26:55\u201362.","DOI":"10.1016\/j.sbspro.2011.10.562"},{"issue":"1","key":"989_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","volume":"2","author":"J Bollen","year":"2011","unstructured":"Bollen J, Mao H, Zeng X (2011) Twitter mood predicts the stock market. J Comput Sci 2(1):1\u20138","journal-title":"J Comput Sci"},{"issue":"06","key":"989_CR3","first-page":"61","volume":"42","author":"Xu Xu Jianfeng","year":"2015","unstructured":"Xu Jianfeng Xu, Yuanchen YX, Yuanjian Z, Qing L (2015) Hybrid algorithm framework for sentiment classification of Chinese based on semantic comprehension and machine learning. Computer Sci 42(06):61\u201366","journal-title":"Computer Sci"},{"issue":"05","key":"989_CR4","first-page":"20","volume":"36","author":"Ou Yi Hongbo","year":"2016","unstructured":"Yi Hongbo Ou, Yun (2016) Internet forum information mining and investor sentiment measurement-based on multivariate GARCH-BEKK Model Analysis. Finance Research 36(05):20\u201322","journal-title":"Finance Res"},{"key":"989_CR5","unstructured":"Yin Haiyuan, Wu Xingyin (2019) Daily investor sentiment, excess return and market liquidity\u2014research on time-varying correlation based on DCC-GARCH Model. J Beijing Institute Technol (Social Sciences Edition) 21(05):76\u201387+114."},{"key":"989_CR6","unstructured":"Sun Mingxuan, LI Lil (2020) Research on the influence of investor sentiment on stock market volatility based on data mining. J Yanshan Univ (Philosophy and Social Science) 21(01):68\u201377."},{"issue":"5","key":"989_CR7","doi-asserted-by":"publisher","first-page":"1367","DOI":"10.1093\/rfs\/hhu001","volume":"27","author":"H Chen","year":"2014","unstructured":"Chen H, De P, Hu YJ et al (2014) Wisdom of crowds: The value of stock opinions transmitted through social media. Rev Financial Stud 27(5):1367\u20131403","journal-title":"Rev Financial Stud"},{"key":"989_CR8","doi-asserted-by":"crossref","unstructured":"Wu ZG, Qiu H (2012) Local bias of investor attention: evidence from China\u2019s Internet Stock Message Boards. http:\/\/ssrn.com., Feb 2012.","DOI":"10.2139\/ssrn.2050232"},{"issue":"11","key":"989_CR9","first-page":"13","volume":"51","author":"Z Mengjun","year":"2016","unstructured":"Mengjun Z, Jiang Hongxun Xu, Wei (2016) Micro-blog moods and propagation factors based stock prices prediction. J Shandong Univ (Natural Science) 51(11):13\u201325","journal-title":"J Shandong Univ (Natural Science)"},{"key":"989_CR10","unstructured":"Bu Hui, Xie Zheng Li Jiahong, Wu Junjie (2018) Investor sentiment extracted from internet stock message boards and its effect on Chinese stock market. J Manage Sci China v21(4):86\u2013101"},{"issue":"1","key":"989_CR11","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/S1005-8885(08)60188-0","volume":"16","author":"D Li","year":"2009","unstructured":"Li D, Ma YT, Guo JL (2009) Words semantic orientation classification based on HowNet. J China Univer Posts Telecommun 16(1):106\u2013110","journal-title":"J China Univer Posts Telecommun"},{"issue":"5","key":"989_CR12","first-page":"111","volume":"26","author":"C Wanyun","year":"2013","unstructured":"Wanyun C, Jie L (2013) Investors' Bullish sentiment of social media and stock market indices. J Manage Sci 26(5):111\u2013119","journal-title":"J Manage Sci"},{"issue":"9","key":"989_CR13","doi-asserted-by":"publisher","first-page":"1375","DOI":"10.1287\/mnsc.1070.0704","volume":"53","author":"SR Das","year":"2007","unstructured":"Das SR, Chen MY (2007) Yahoo! for Amazon: sentiment extraction from small talk on the web. Manage Sci 53(9):1375\u20131388","journal-title":"Manage Sci"},{"key":"989_CR14","unstructured":"Pandey V, Iyer C (2009) Sentiment analysis of microblogs. CS 229: Machine learning final projects, 2009."},{"issue":"4","key":"989_CR15","doi-asserted-by":"publisher","first-page":"819","DOI":"10.21275\/v5i4.NOV162724","volume":"5","author":"SV Wawre","year":"2016","unstructured":"Wawre SV, Deshmukh SN (2016) Sentiment classification using machine learning techniques. Int J Sci Res (IJSR)) 5(4):819\u2013821","journal-title":"Int J Sci Res (IJSR)"},{"issue":"03","key":"989_CR16","first-page":"162","volume":"47","author":"Li Zhoujun","year":"2020","unstructured":"Zhoujun Li, Fan Yu, Xianjie Wu (2020) Survey of natural language processing pre-training techniques. Computer Sci 47(03):162\u2013173","journal-title":"Computer Sci"},{"key":"989_CR17","doi-asserted-by":"crossref","unstructured":"Sun Y, Wang L, Chen C, Xia T, Zhao X (2019) Improved distant supervised model in tibetan relation extraction using ELMo and attention. IEEE Access 7:173054\u2013173062","DOI":"10.1109\/ACCESS.2019.2955977"},{"issue":"10","key":"989_CR18","first-page":"1943","volume":"43","author":"L Ling","year":"2020","unstructured":"Ling L, Zhihao Y, Yawen S, Nan Li, Hongfei L (2020) Chinese clinical named entity recognition based on Stroke ELMo and multi-task learning. Chin J Comput 43(10):1943\u20131957","journal-title":"Chin J Comput"},{"issue":"10","key":"989_CR19","first-page":"294","volume":"6","author":"Li Zijian","year":"2020","unstructured":"Zijian Li, Chengying C, Xuegang Z (2020) Thai sentence segmentation model based on Bi-LSTM and CRF. Comput Eng 6(10):294\u2013300","journal-title":"Comput Eng"},{"key":"989_CR20","unstructured":"Vaswani A, Shazeer N, Parmar N et al (2017) Attention is all you need[C]\/\/Advances in neural information processing systems, pp 5998\u20136008."},{"key":"989_CR21","unstructured":"Yang Piao, Dong Wenyong (2020) Chinese named entity recognition method based on BERT embedding. Computer Eng 46(4):40\u201345+52."},{"key":"989_CR22","doi-asserted-by":"crossref","unstructured":"Bhati BS, Rai CS, Balamurugan B, Al-Turjman F (2020) An intrusion detection scheme based on the ensemble of discriminant classifiers. Compters Electrical Eng 86:106742.","DOI":"10.1016\/j.compeleceng.2020.106742"},{"key":"989_CR23","doi-asserted-by":"crossref","unstructured":"Bhati BS, Rai CS (2020) Analysis of support vector machine-based intrusion detection techniques. Arab J Sci Eng 45:2371\u20132383","DOI":"10.1007\/s13369-019-03970-z"},{"key":"989_CR24","doi-asserted-by":"crossref","unstructured":"Tiwari D, Bhati BS (2021) A deep analysis and prediction of COVID-19 in India: using ensemble regression approach. Artificial Intelligence and Machine Learning for COVID-19, pp 97\u2013109.","DOI":"10.1007\/978-3-030-60188-1_5"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-021-00989-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-021-00989-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-021-00989-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T14:06:51Z","timestamp":1730988411000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-021-00989-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,10]]},"references-count":24,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["989"],"URL":"https:\/\/doi.org\/10.1007\/s00607-021-00989-9","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"value":"0010-485X","type":"print"},{"value":"1436-5057","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,10]]},"assertion":[{"value":"6 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 August 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}