{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T04:30:16Z","timestamp":1784521816058,"version":"3.55.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319972886","type":"print"},{"value":"9783319972893","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-97289-3_8","type":"book-chapter","created":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T11:28:07Z","timestamp":1532604487000},"page":"102-113","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding"],"prefix":"10.1007","author":[{"given":"Yang","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingguo","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huanrui","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrian","family":"Carrio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,7,27]]},"reference":[{"key":"8_CR1","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, 9603\u20139611 (2015)","journal-title":"Expert Syst. Appl."},{"issue":"6","key":"8_CR2","first-page":"807","volume":"42","author":"K Liu","year":"2016","unstructured":"Liu, K., Zhang, Y.-Z., Ji, G.-L., Lai, S.-W., Zhao, J.: Representation learning for question answering over knowledge base: an overview n ature. Acta Autom. Sin. 42(6), 807\u2013818 (2016)","journal-title":"Acta Autom. Sin."},{"issue":"3","key":"8_CR3","first-page":"649","volume":"53","author":"L Qiao","year":"2014","unstructured":"Qiao, L., Yang, L., Hong, D., Yao, L., Zhiguang, Q.: Knowledge graph construction techniques. J. Comput. Res. Dev. 53(3), 649\u2013652 (2014)","journal-title":"J. Comput. Res. Dev."},{"key":"8_CR4","doi-asserted-by":"publisher","first-page":"2724","DOI":"10.1109\/TKDE.2017.2754499","volume":"29","author":"Q Wang","year":"2017","unstructured":"Wang, Q., Mao, Z., Wang, B., Guo, L.: Knowledge graph embedding: a survey of approaches and applications. IEEE Trans. Knowl. Data Eng. 29, 2724\u20132743 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"8_CR5","first-page":"1112","volume":"14","author":"Z Wang","year":"2014","unstructured":"Wang, Z., Zhang, J., Feng, J., Chen, Z.: Knowledge graph embedding by translating on hyperplanes. AAAI Conf. Artif. Intell. 14, 1112\u20131119 (2014)","journal-title":"AAAI Conf. Artif. Intell."},{"key":"8_CR6","unstructured":"Ding, X., Zhang, Y., Liu, T., Duan, J.: Deep learning for event-driven stock prediction. In: IJCAI International Joint Conference on Artificial Intelligence, pp. 2327\u20132333 (2015)"},{"key":"8_CR7","first-page":"2133","volume":"2016","author":"X Ding","year":"2016","unstructured":"Ding, X., Zhang, Y., Liu, T., Duan, J.: Knowledge-driven event embedding for stock prediction. Coling 2016, 2133\u20132142 (2016)","journal-title":"Coling"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Filliat, D.: A visual bag of words method for interactive qualitative localization and mapping. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 3921\u20133926 (2007)","DOI":"10.1109\/ROBOT.2007.364080"},{"key":"8_CR9","unstructured":"Harris, G.: A Survey of Deep Learning Techniques Applied to Trading (2016)"},{"key":"8_CR10","unstructured":"Xiong, R., Nichols, E.P., Shen, Y.: Deep Learning Stock Volatility with Google Domestic Trends. 2, 0\u20135 (2015)"},{"key":"8_CR11","unstructured":"Heaton, J.B., Polson, N.G., Witte, J.H.: Deep Learning in Finance, pp. 1\u201320 (2016)"},{"key":"8_CR12","first-page":"2787","volume":"26","author":"A Bordes","year":"2013","unstructured":"Bordes, A., Usunier, N., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. Adv. NIPS. 26, 2787\u20132795 (2013)","journal-title":"Adv. NIPS."},{"key":"8_CR13","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.procs.2017.05.045","volume":"108","author":"H Lin","year":"2017","unstructured":"Lin, H., Liu, Y., Wang, W., Yue, Y., Lin, Z.: Learning entity and relation embeddings for knowledge resolution. Procedia Comput. Sci. 108, 345\u2013354 (2017)","journal-title":"Procedia Comput. Sci."},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Ji, G., He, S., Xu, L., Liu, K., Zhao, J.: Knowledge graph embedding via dynamic mapping matrix. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, vol, 1, Long Papers, pp. 687\u2013696 (2015)","DOI":"10.3115\/v1\/P15-1067"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Xu, J., Qiu, X., Chen, K., Huang, X.: Knowledge graph representation with jointly structural and textual encoding. In: IJCAI International Joint Conference on Artificial Intelligence, pp. 1318\u20131324 (2017)","DOI":"10.24963\/ijcai.2017\/183"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Xie, R., Liu, Z., Jia, J., Luan, H., Sun, M.: Representation learning of knowledge graphs with entity descriptions. In: AAAI, pp. 2659\u20132665 (2016)","DOI":"10.1609\/aaai.v30i1.10329"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Vargas, M.R., de Lima, B.S.L.P, Evsukoff, A.G.: Deep learning for stock market prediction from financial news articles. In: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), pp. 60\u201365 (2017)","DOI":"10.1109\/CIVEMSA.2017.7995302"},{"key":"8_CR18","unstructured":"Abadi, M., et al.: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2016)"},{"key":"8_CR19","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1016\/S0304-405X(03)00146-6","volume":"70","author":"WC Chan","year":"2003","unstructured":"Chan, W.C.: Stock price reaction to news and no-news: Drift and reversal after headlines. J. Financ. Econ. 70, 223\u2013260 (2003)","journal-title":"J. Financ. Econ."},{"key":"8_CR20","unstructured":"Fehrer, R., Feuerriegel, S.: Improving decision analytics with deep learning: The case of financial disclosures, pp. 1\u201339 (2015)"},{"key":"8_CR21","unstructured":"Prosky, J., Song, X., Tan, A., Zhao, M.: Sentiment Predictability for Stocks (2017)"},{"key":"8_CR22","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.eswa.2017.02.041","volume":"79","author":"B Weng","year":"2017","unstructured":"Weng, B., Ahmed, M.A., Megahed, F.M.: Stock market one-day ahead movement prediction using disparate data sources. Expert Syst. Appl. 79, 153\u2013163 (2017)","journal-title":"Expert Syst. Appl."},{"key":"8_CR23","doi-asserted-by":"publisher","first-page":"11347","DOI":"10.1016\/j.eswa.2011.03.001","volume":"38","author":"X Lin","year":"2011","unstructured":"Lin, X., Yang, Z., Song, Y.: Expert systems with applications intelligent stock trading system based on improved technical analysis and echo state network. Expert Syst. Appl. 38, 11347\u201311354 (2011)","journal-title":"Expert Syst. Appl."},{"key":"8_CR24","doi-asserted-by":"crossref","unstructured":"Hoffmann, P.: Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of the conference on human language technology and empirical methods in natural language processing, pp. 347\u2013354. Association for Computational Linguistics. pp. 347\u2013354 (2005)","DOI":"10.3115\/1220575.1220619"},{"key":"8_CR25","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient Estimation of Word Representations in Vector Space, pp. 1\u201312 (2013)"},{"key":"8_CR26","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional Neural Networks for Sentence Classification (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"8_CR27","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.dss.2017.10.001","volume":"104","author":"M Kraus","year":"2017","unstructured":"Kraus, M., Feuerriegel, S.: Decision support from financial disclosures with deep neural networks and transfer learning. Decis. Support Syst. 104, 38\u201348 (2017)","journal-title":"Decis. Support Syst."},{"key":"8_CR28","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521, 436\u2013444 (2015)","journal-title":"Nature"},{"key":"8_CR29","doi-asserted-by":"crossref","unstructured":"Nikfarjam, A., Emadzadeh, E., Muthaiyah, S.: Text mining approaches for stock market prediction. In: The 2nd International Conference on Computer and Automation Engineering (ICCAE), vol. 4, pp. 256\u2013260 (2010)","DOI":"10.1109\/ICCAE.2010.5451705"},{"key":"8_CR30","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"1015","DOI":"10.1007\/11941439_114","volume-title":"AI 2006: Advances in Artificial Intelligence","author":"M Sokolova","year":"2006","unstructured":"Sokolova, M., Japkowicz, N., Szpakowicz, S.: Beyond accuracy, F-Score and ROC: a family of discriminant measures for performance evaluation. In: Sattar, A., Kang, B.-h. (eds.) AI 2006. LNCS (LNAI), vol. 4304, pp. 1015\u20131021. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11941439_114"}],"container-title":["Lecture Notes in Computer Science","Knowledge Management and Acquisition for Intelligent Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97289-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T01:42:12Z","timestamp":1751766132000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-97289-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319972886","9783319972893"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97289-3_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}