{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:16:31Z","timestamp":1750220191649,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T00:00:00Z","timestamp":1663891200000},"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":[[2022,9,23]]},"DOI":"10.1145\/3573942.3574010","type":"proceedings-article","created":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T23:45:42Z","timestamp":1684280742000},"page":"1177-1182","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["News-driven financial warning based on label information attention"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3537-4208","authenticated-orcid":false,"given":"Ren","family":"Zhilin","sequence":"first","affiliation":[{"name":"Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4622-7959","authenticated-orcid":false,"given":"Chen","family":"Long","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3474-1611","authenticated-orcid":false,"given":"Huang","family":"Xiaohua","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7439-8478","authenticated-orcid":false,"given":"Wang","family":"Wenjing","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7191-7348","authenticated-orcid":false,"given":"Xu","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9767-1323","authenticated-orcid":false,"given":"Zhao","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2413-4698","authenticated-orcid":false,"given":"Guan","family":"Ziyu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, China"}]}],"member":"320","published-online":{"date-parts":[[2023,5,16]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"A Random Walk Down Wall Street [M]","author":"Malkiel B G","year":"1973","unstructured":"Malkiel B G . A Random Walk Down Wall Street [M]. W. W. Norton, New York,1973"},{"key":"e_1_3_2_1_2_1","volume-title":"ACL 2013","author":"Si J","year":"2013","unstructured":"Si J , Mukherjee A , Bing L , Exploiting Topic based Twitter Sentiment for Stock Prediction[C]\/\/ ACL 2013. 2013."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).","author":"Xie B","year":"2013","unstructured":"Xie B , Passonneau R J , Wu L , Semantic Frames to Predict Stock Price Movement[C]\/\/ Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2013."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Wang W Y Hua Z . A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls[C]\/\/ Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2014.","DOI":"10.3115\/v1\/P14-1109"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1086\/294743"},{"key":"e_1_3_2_1_6_1","first-page":"13","author":"Theodorou T I","year":"2021","unstructured":"Theodorou T I , Zamichos A , Skoumperdis M , An AI-Enabled Stock Prediction Platform Combining News and Social Sensing with Financial Statements[J]. Future Internet, 2021, 13.","journal-title":"Future Internet"},{"key":"e_1_3_2_1_7_1","volume-title":"Stock Prices Prediction from Financial News Articles Using LSTM and XAI[J]. PeerJ Computer Science","author":"Gite S","year":"2021","unstructured":"Gite S , Khatavkar H , Srivastava S , Stock Prices Prediction from Financial News Articles Using LSTM and XAI[J]. PeerJ Computer Science, 2021."},{"key":"e_1_3_2_1_8_1","volume-title":"International Journal of Data Science and Analytics","author":"Li Y","year":"2021","unstructured":"Li Y , Pan Y . A novel ensemble deep learning model for stock prediction based on stock prices and news[J]. International Journal of Data Science and Analytics, 2021(2)."},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings","author":"Kogan S , D","year":"2009","unstructured":"Kogan S , D Levin, Routledge B R , Predicting risk from financial reports with regression[C]\/\/ Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31 - June 5, 2009, Boulder, Colorado, USA. DBLP, 2009."},{"issue":"2","key":"e_1_3_2_1_10_1","first-page":"12","volume":"27","author":"Robert P","year":"2009","unstructured":"Robert P Schumaker and Hsinchun Chen. Textual analysis of stock market prediction using breaking financial news: The azfin text system.TOIS, 27(2):12, 2009.","journal-title":"TOIS"},{"key":"e_1_3_2_1_11_1","volume-title":"Using Structured Events to Predict Stock Price Movement: An Empirical Investigation[C]\/\/ Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","author":"Xiao D","year":"2014","unstructured":"Xiao D , Yue Z , Liu T , Using Structured Events to Predict Stock Price Movement: An Empirical Investigation[C]\/\/ Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014."},{"key":"e_1_3_2_1_12_1","volume-title":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20","author":"Li W","year":"2020","unstructured":"Li W , Bao R , Harimoto K , Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction[C]\/\/ Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20. 2020."},{"key":"e_1_3_2_1_13_1","volume-title":"Papers","author":"Zhao L","year":"2021","unstructured":"Zhao L , Li W , Bao R , Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling[J]. Papers, 2021."},{"key":"e_1_3_2_1_14_1","volume-title":"Lee K","author":"Devlin J","year":"2018","unstructured":"Devlin J , Chang M W , Lee K , BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding[J]. 2018."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-5105"},{"volume-title":"Pattern Recognition","year":"2004","key":"e_1_3_2_1_16_1","unstructured":"BOUTELL, M. Learning multi-label scene classification*1[J]. Pattern Recognition, 2004."},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II. Springer Berlin Heidelberg","author":"Read J","year":"2009","unstructured":"Read J , Pfahringer B , Holmes G , Classifier Chains for Multi-label Classification[C]\/\/ Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II. Springer Berlin Heidelberg, 2009."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.4018\/jdwm.2007070101"},{"key":"e_1_3_2_1_19_1","volume-title":"Wei L","author":"Yang P","year":"2018","unstructured":"Yang P , Xu S , Wei L , SGM: Sequence Generation Model for Multi-label Classification[C]\/\/ 2018."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2756932"}],"event":{"name":"AIPR 2022: 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","acronym":"AIPR 2022","location":"Xiamen China"},"container-title":["Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573942.3574010","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3573942.3574010","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:32Z","timestamp":1750186952000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573942.3574010"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,23]]},"references-count":21,"alternative-id":["10.1145\/3573942.3574010","10.1145\/3573942"],"URL":"https:\/\/doi.org\/10.1145\/3573942.3574010","relation":{},"subject":[],"published":{"date-parts":[[2022,9,23]]},"assertion":[{"value":"2023-05-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}