{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:08:08Z","timestamp":1755907688285,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1145\/3672919.3673018","type":"proceedings-article","created":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T12:39:43Z","timestamp":1721824783000},"page":"561-568","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Internet Financial Public Opinion Monitoring Based on Word2vec-BI-LSTM"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-7145-6642","authenticated-orcid":false,"given":"Yu","family":"Chao","sequence":"first","affiliation":[{"name":"School of Cyber Science and Engineering, Southeast University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3485-5013","authenticated-orcid":false,"given":"Wang","family":"Chao","sequence":"additional","affiliation":[{"name":"School of Finance, Nanjing Agricultural University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,7,24]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"293","article-title":"Early warning method of power supply enterprise service network public opinion based on fuzzy reasoning","volume":"12587","author":"Li Q.","year":"2023","unstructured":"Li, Q., Fan, W., Shen, X. and Li, J. 2023. Early warning method of power supply enterprise service network public opinion based on fuzzy reasoning, Third International Seminar on Artificial Intelligence, Networking, and Information Technology, 12587, 293-298.","journal-title":"Third International Seminar on Artificial Intelligence, Networking, and Information Technology"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.54097\/hbem.v17i.11133"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJWBC.2023.131389"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2021.103060"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2021.10.014"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3052566"},{"key":"e_1_3_2_1_7_1","first-page":"1","article-title":"A two-dimensional sentiment analysis of online public opinion and future financial performance of publicly listed companies","volume":"2021","author":"Yen M. F.","year":"2021","unstructured":"Yen, M. F., Huang, Y. P., Yu, L. C. and Chen, Y. L. 2021. A two-dimensional sentiment analysis of online public opinion and future financial performance of publicly listed companies, Computational Economics, 2021,1-22.","journal-title":"Computational Economics"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/8788960"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.01.001"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbankfin.2016.09.010"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-017-0111-6"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/for.2777"},{"key":"e_1_3_2_1_13_1","volume-title":"ECB Statistics Paper","author":"Mao H.","year":"2015","unstructured":"Mao, H., Counts, S. and Bollen, J., Quantifying the effects of online bullishness on international financial markets, [R]. ECB Statistics Paper, 2015."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Deng S. Huang Z. J. Sinha A. P. and Zhao H. 2018. The interaction between microblog sentiment and stock return: An empirical examination MIS quarterly 42(3) 895-918.","DOI":"10.25300\/MISQ\/2018\/14268"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.4236\/ojbm.2020.81017"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbankfin.2017.02.005"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.06.027"},{"key":"e_1_3_2_1_18_1","first-page":"1","article-title":"A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction","volume":"178","author":"Jing Nan","year":"2021","unstructured":"Jing Nan, Wu Zhao and Wang, H. 2021. A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction, Expert Systems with Applications, 178, 1-12.","journal-title":"Expert Systems with Applications"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-022-07444-7"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2021\/7510641","article-title":"A stock trend forecast algorithm based on deep neural networks","volume":"2021","author":"Yan Y.","year":"2021","unstructured":"Yan, Y. and Yang, D. 2021. A stock trend forecast algorithm based on deep neural networks, Scientific Programming, 2021, 1-7.","journal-title":"Scientific Programming"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.03.096"},{"key":"e_1_3_2_1_22_1","first-page":"540","volume-title":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","author":"Yu L. C.","year":"2016","unstructured":"Yu, L. C., Lee, L. H., Hao, S., Wang, J., He, Y., Hu, J., and Zhang, X. 2016. Building Chinese affective resources in valence-arousal dimensions, Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016, 540-545."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2018.01.014"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.09.048"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Yu Y. Duan W. and Cao Q. 2013. The impact of social and conventional media on firm equity value: A sentiment analysis approach Decision support systems 55(4) 919-926.","DOI":"10.1016\/j.dss.2012.12.028"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1134-1"},{"key":"e_1_3_2_1_27_1","volume-title":"Gui Xiaolin and Zhang Xuejun","author":"Zhao Jianqiang","year":"2018","unstructured":"Zhao Jianqiang, Gui Xiaolin and Zhang Xuejun. 2018. Deep convolution neural networks for twitter sentiment analysis, IEEE access, 6, 23253-23260."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/1015049"},{"key":"e_1_3_2_1_29_1","first-page":"872","volume-title":"International Conference on Applications and Techniques in Cyber Security and Intelligence","author":"Wang X.","year":"2021","unstructured":"Wang, X. and Wu, Z. 2021. Qualitative and Quantitative Analysis of Financial Public Opinion Risk Based on Big Data Analysis, International Conference on Applications and Techniques in Cyber Security and Intelligence, 2021, 872-879."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2022.836809"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Das N. Sadhukhan B. Chatterjee T. and Chakrabarti S. 2022. Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak Social network analysis and mining 12(1) 92.","DOI":"10.1007\/s13278-022-00919-3"}],"event":{"name":"CSAIDE 2024: 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","acronym":"CSAIDE 2024","location":"Nanjing China"},"container-title":["Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3672919.3673018","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3672919.3673018","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:35:24Z","timestamp":1755880524000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3672919.3673018"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":31,"alternative-id":["10.1145\/3672919.3673018","10.1145\/3672919"],"URL":"https:\/\/doi.org\/10.1145\/3672919.3673018","relation":{},"subject":[],"published":{"date-parts":[[2024,3]]},"assertion":[{"value":"2024-07-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}