{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T11:15:06Z","timestamp":1758280506049,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":11,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811666230"},{"type":"electronic","value":"9789811666247"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-981-16-6624-7_51","type":"book-chapter","created":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T04:26:48Z","timestamp":1646022408000},"page":"511-519","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Exploring Historical Stock Price Movement from News Articles Using Knowledge Graphs and Unsupervised Learning"],"prefix":"10.1007","author":[{"given":"Amol","family":"Jain","sequence":"first","affiliation":[]},{"given":"Binayak","family":"Chakrabarti","sequence":"additional","affiliation":[]},{"given":"Yashaswi","family":"Upmon","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5295-1110","authenticated-orcid":false,"given":"Jitendra Kumar","family":"Rout","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,28]]},"reference":[{"key":"51_CR1","unstructured":"Ding, X., Zhang, Y., Liu, T., Duan, J.: Deep learning for event-driven stock prediction. In: Proceedings of Twenty-Fourth International Joint Conference on Artificial Intelligence on Proceedings, pp. 2327\u20132333 (2015)"},{"key":"51_CR2","doi-asserted-by":"crossref","unstructured":"Hu, Z., Liu, W., Bian, J., Liu, X., Liu, T. Y.: Listening to chaotic whispers: a deep learning framework for news-oriented stock trend prediction. In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, pp. 261\u2013269. Marina Del Rey, CA, USA (2018)","DOI":"10.1145\/3159652.3159690"},{"key":"51_CR3","doi-asserted-by":"crossref","unstructured":"Naik, N., Mohan, B.R.: Stock price movements classification using machine and deep learning techniques-the case study of indian stock market. In: Proceedings of the International Conference on Engineering Applications of Neural Networks, pp. 445\u2013452. Springer, Cham (2019)","DOI":"10.1007\/978-3-030-20257-6_38"},{"issue":"1","key":"51_CR4","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.eswa.2014.07.040","volume":"42","author":"J Patel","year":"2015","unstructured":"Patel, J., Shah, S., Thakkar, P., Kotecha, K.: Predicting stock and stock price index movement using trend deterministic data preparation and machine learning techniques. Expert Syst. Appl. 42(1), 259\u2013268 (2015)","journal-title":"Expert Syst. Appl."},{"issue":"8","key":"51_CR5","doi-asserted-by":"publisher","first-page":"840","DOI":"10.3390\/e22080840","volume":"22","author":"M Nabipour","year":"2020","unstructured":"Nabipour, M., Nayyeri, P., Jabani, H., Mosavi, A., Salwana, E.: Deep learning for stock market prediction. Entropy 22(8), 840 (2020)","journal-title":"Entropy"},{"key":"51_CR6","doi-asserted-by":"crossref","unstructured":"Long, J., Chen, Z., He, W., Wu, T., Ren, J.: An integrated framework of deep learning and knowledge graph for prediction of stock price trend: an application in Chinese stock exchange market. Appl. Soft Comput. 91, 106205 (2020)","DOI":"10.1016\/j.asoc.2020.106205"},{"issue":"24","key":"51_CR7","doi-asserted-by":"publisher","first-page":"9603","DOI":"10.1016\/j.eswa.2015.07.052","volume":"42","author":"TH Nguyen","year":"2015","unstructured":"Nguyen, T.H., Shirai, K., Velcin, J.: Sentiment analysis on social media for stock movement prediction. Expert Syst. Appl. 42(24), 9603\u20139611 (2015)","journal-title":"Expert Syst. Appl."},{"key":"51_CR8","doi-asserted-by":"crossref","unstructured":"Li, X., Wu, P., Wang, W.: Incorporating stock prices and news sentiments for stock market prediction: a case of Hong Kong. Information Process. Manage. 57(5), 102212 (2020)","DOI":"10.1016\/j.ipm.2020.102212"},{"key":"51_CR9","doi-asserted-by":"crossref","unstructured":"Liu, J., Chen, Y., Liu, K., Zhao, J.: Attention-based event relevance model for stock price movement prediction. In: Proceedings of the China Conference on Knowledge Graph and Semantic Computing, pp. 37\u201349. Springer, Heidelberg (2017)","DOI":"10.1007\/978-981-10-7359-5_5"},{"key":"51_CR10","unstructured":"Times Topics: Facebook. https:\/\/www.nytimes.com\/search?dropmab=true&endDate=20200823&query=Facebook&sort=best&startDate=20190801. Last accessed 24 Aug 2020"},{"key":"51_CR11","unstructured":"Fehrera, R., Feuerriegela, S.: Improving decision analytics with deep learning: The case of financial disclosures. Stat 1050, 9 (2015)"}],"container-title":["Smart Innovation, Systems and Technologies","Intelligent Data Engineering and Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-6624-7_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T17:21:27Z","timestamp":1651771287000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-6624-7_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811666230","9789811666247"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-6624-7_51","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"28 February 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}