{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T07:39:14Z","timestamp":1743147554353,"version":"3.40.3"},"publisher-location":"Cham","reference-count":77,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030190361"},{"type":"electronic","value":"9783030190378"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-19037-8_9","type":"book-chapter","created":{"date-parts":[[2019,5,21]],"date-time":"2019-05-21T01:04:40Z","timestamp":1558400680000},"page":"131-145","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Document Representation for Text Analytics in Finance"],"prefix":"10.1007","author":[{"given":"Jan","family":"Roeder","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Palmer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,3]]},"reference":[{"issue":"3","key":"9_CR1","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1287\/isre.2014.0546","volume":"25","author":"R Agarwal","year":"2014","unstructured":"Agarwal, R., Dhar, V.: Big data, data science, and analytics: the opportunity and challenge for IS research. Inf. Syst. Res. 25(3), 443\u2013448 (2014)","journal-title":"Inf. Syst. Res."},{"key":"9_CR2","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1016\/j.dss.2011.01.008","volume":"51","author":"R Gopal","year":"2011","unstructured":"Gopal, R., Marsden, J.R., Vanthienen, J.: Information mining\u2014reflections on recent advancements and the road ahead in data, text, and media mining. Decis. Support Syst. 51, 727\u2013731 (2011)","journal-title":"Decis. Support Syst."},{"issue":"4","key":"9_CR3","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1111\/1475-679X.12123","volume":"54","author":"T Loughran","year":"2016","unstructured":"Loughran, T., McDonald, B.: Textual analysis in accounting and finance: a survey. J. Acc. Res. 54(4), 1187\u20131230 (2016)","journal-title":"J. Acc. Res."},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"Jin, F., Self, N., Saraf, P., Butler, P., Wang, W., Ramakrishnan, N.: Forex-foreteller: currency trend modeling using news articles. In: 19th ACM International Conference on Knowledge Discovery and Data Mining, pp. 1470\u20131473. ACM (2013)","DOI":"10.1145\/2487575.2487710"},{"issue":"3","key":"9_CR5","doi-asserted-by":"publisher","first-page":"1437","DOI":"10.1111\/j.1540-6261.2008.01362.x","volume":"63","author":"PC Tetlock","year":"2008","unstructured":"Tetlock, P.C., Saar-Tsechansky, M., Mackskasssy, S.: More than words: quantifying language to measure firms\u2019 fundamentals. J. Finan. 63(3), 1437\u20131467 (2008)","journal-title":"J. Finan."},{"issue":"1","key":"9_CR6","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.: Twitter mood predicts the stock market. J. Comput. Sci. 2(1), 1\u20138 (2011)","journal-title":"J. Comput. Sci."},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Hotho, A., N\u00fcrnberger, A., Paa\u00df, G.: A brief survey of text mining. In: LDV Forum, pp. 19\u201362 (2005)","DOI":"10.21248\/jlcl.20.2005.68"},{"issue":"8","key":"9_CR8","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","volume":"35","author":"Y Bengio","year":"2013","unstructured":"Bengio, Y., Courville, A., Vincent, P.: Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1798\u20131828 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"9_CR9","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1613\/jair.4992","volume":"57","author":"Y Goldberg","year":"2016","unstructured":"Goldberg, Y.: A primer on neural network models for natural language processing. J. Artif. Intell. Res. 57, 345\u2013420 (2016)","journal-title":"J. Artif. Intell. Res."},{"key":"9_CR10","unstructured":"Hinton, G.E.: Learning distributed representations of concepts. In: 8th Annual Conference of the Cognitive Science Society, pp. 1\u201312. Amherst, MA (1986)"},{"key":"9_CR11","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"9_CR12","unstructured":"Turian, J., Ratinov, L., Bengio, Y.: Word representations: a simple and general method for semi-supervised learning. In: 48th Annual Meeting of the Association for Computational Linguistics, pp. 384\u2013394 (2010)"},{"key":"9_CR13","unstructured":"Hinton, G.E., McClelland, J., Rumelhart, D.: Distributed representations. In: Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol. 1, no. (3), pp. 77\u2013109 (1986)"},{"issue":"1","key":"9_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y Bengio","year":"2009","unstructured":"Bengio, Y.: Learning deep architectures for AI. Found. Trends\u00ae Mach. Learn. 2(1), 1\u2013127 (2009)","journal-title":"Found. Trends\u00ae Mach. Learn."},{"key":"9_CR15","first-page":"1137","volume":"3","author":"Y Bengio","year":"2003","unstructured":"Bengio, Y., Ducharme, R., Vincent, P., Jauvin, C.: A neural probabilistic language model. J. Mach. Learn. Res. 3, 1137\u20131155 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"9_CR16","unstructured":"Le, Q.V., Mikolov, T.: Distributed representations of sentences and documents. In: 31st International Conference on Machine Learning, pp. 1188\u20131196 (2014)"},{"issue":"2","key":"9_CR17","first-page":"i\u2013xxxii","volume":"17","author":"A Abbasi","year":"2016","unstructured":"Abbasi, A., Sarker, S., Chiang, R.H.L.: Big data research in information systems: toward an inclusive research agenda. J. Assoc. Inf. Syst. 17(2), i\u2013xxxii (2016)","journal-title":"J. Assoc. Inf. Syst."},{"key":"9_CR18","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.patrec.2016.06.012","volume":"80","author":"C Boom De","year":"2016","unstructured":"De Boom, C., Van Canneyt, S., Demeester, T., Dhoedt, B.: Representation learning for very short texts using weighted word embedding aggregation. Pattern Recogn. Lett. 80, 150\u2013156 (2016)","journal-title":"Pattern Recogn. Lett."},{"issue":"16","key":"9_CR19","doi-asserted-by":"publisher","first-page":"7653","DOI":"10.1016\/j.eswa.2014.06.009","volume":"41","author":"AK Nassirtoussi","year":"2014","unstructured":"Nassirtoussi, A.K., Aghabozorgi, S., Wah, T.Y., Ngo, D.: Text mining for market prediction: a systematic review. Expert Syst. Appl. 41(16), 7653\u20137670 (2014)","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"9_CR20","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1145\/2436256.2436274","volume":"56","author":"R Feldman","year":"2013","unstructured":"Feldman, R.: Techniques and applications for sentiment analysis. Commun. ACM 56(4), 82\u201389 (2013)","journal-title":"Commun. ACM"},{"key":"9_CR21","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.irfa.2014.02.006","volume":"33","author":"C Kearney","year":"2014","unstructured":"Kearney, C., Liu, S.: Textual sentiment in finance: a survey of methods and models. Int. Rev. Financ. Anal. 33, 171\u2013185 (2014)","journal-title":"Int. Rev. Financ. Anal."},{"issue":"1\u20132","key":"9_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000011","volume":"2","author":"B Pang","year":"2008","unstructured":"Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends\u00ae Inf. Retrieval 2(1\u20132), 1\u2013135 (2008)","journal-title":"Found. Trends\u00ae Inf. Retrieval"},{"issue":"7","key":"9_CR23","first-page":"110","volume":"39","author":"S Debortoli","year":"2016","unstructured":"Debortoli, S., M\u00fcller, O., Junglas, I., vom Brocke, J.: Text mining for information systems researchers: an annotated topic modeling tutorial. Commun. Assoc. Inf. Syst. 39(7), 110\u2013135 (2016)","journal-title":"Commun. Assoc. Inf. Syst."},{"key":"9_CR24","unstructured":"Eickhoff, M., Neuss, N.: Topic modelling methodology: its use in information systems and other managerial disciplines. In: 25th European Conference on Information Systems, pp. 1327\u20131347 (2017)"},{"key":"9_CR25","doi-asserted-by":"crossref","unstructured":"Lee, S., Baker, J., Song, J., Wetherbe, J.C.: An empirical comparison of four text mining methods. In: 43rd Hawaii International Conference on System Sciences, pp. 1\u201310. IEEE (2010)","DOI":"10.1109\/HICSS.2010.48"},{"issue":"6","key":"9_CR26","first-page":"118","volume":"2","author":"R Agrawal","year":"2013","unstructured":"Agrawal, R., Batra, M.: A detailed study on text mining techniques. Int. J. Soft Comput. Eng. 2(6), 118\u2013121 (2013)","journal-title":"Int. J. Soft Comput. Eng."},{"key":"9_CR27","unstructured":"Allahyari, M., et al.: A brief survey of text mining: classification, clustering and extraction techniques. arXiv preprint (2017)"},{"issue":"1","key":"9_CR28","first-page":"60","volume":"1","author":"V Gupta","year":"2009","unstructured":"Gupta, V., Lehal, G.S.: A survey of text mining techniques and applications. J. Emerg. Technol. Web Intell. 1(1), 60\u201376 (2009)","journal-title":"J. Emerg. Technol. Web Intell."},{"issue":"4","key":"9_CR29","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.jfds.2017.05.001","volume":"2","author":"G Zhong","year":"2016","unstructured":"Zhong, G., Wang, L.-N., Ling, X., Dong, J.: An overview on data representation learning: from traditional feature learning to recent deep learning. J. Finan. Data Sci. 2(4), 265\u2013278 (2016)","journal-title":"J. Finan. Data Sci."},{"issue":"2","key":"9_CR30","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1017\/S0269888914000277","volume":"30","author":"R. Irfan","year":"2015","unstructured":"Irfan, R., et al.: A survey on text mining in social networks. Knowl. Eng. Rev. 30(2), 157\u2013170 (2015)","journal-title":"Knowl. Eng. Rev."},{"key":"9_CR31","unstructured":"Feldman, R., Dagan, I.: Knowledge discovery in textual databases (KDT). In: 1st International Conference on Knowledge Discovery and Data Mining, pp. 112\u2013117 (1995)"},{"issue":"3","key":"9_CR32","first-page":"37","volume":"17","author":"U Fayyad","year":"1996","unstructured":"Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI Mag. 17(3), 37\u201354 (1996)","journal-title":"AI Mag."},{"issue":"9","key":"9_CR33","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1145\/1151030.1151032","volume":"49","author":"W Fan","year":"2006","unstructured":"Fan, W., Wallace, L., Rich, S., Zhang, Z.: Tapping the power of text mining. Commun. ACM 49(9), 76\u201382 (2006)","journal-title":"Commun. ACM"},{"key":"9_CR34","volume-title":"The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data","author":"R Feldman","year":"2007","unstructured":"Feldman, R., Sanger, J.: The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press, Cambridge (2007)"},{"key":"9_CR35","volume-title":"Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications","author":"G Miner","year":"2012","unstructured":"Miner, G., Elder, J., Hill, T.: Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications. Academic Press, Cambridge (2012)"},{"issue":"1","key":"9_CR36","first-page":"1","volume":"17","author":"N Pavlopoulou","year":"2017","unstructured":"Pavlopoulou, N., Abushwashi, A., Stahl, F., Scibetta, V.: A text mining framework for big data. Expert Update 17(1), 1\u201323 (2017)","journal-title":"Expert Update"},{"issue":"5","key":"9_CR37","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1016\/j.ipm.2006.11.011","volume":"43","author":"Y-H Tseng","year":"2007","unstructured":"Tseng, Y.-H., Lin, C.-J., Lin, Y.-I.: Text mining techniques for patent analysis. Inf. Process. Manage. 43(5), 1216\u20131247 (2007)","journal-title":"Inf. Process. Manage."},{"key":"9_CR38","unstructured":"Jing, L.-P., Huang, H.-K., Shi, H.-B.: Improved Feature selection approach TFIDF in text mining. In: 1st International Conference on Machine Learning and Cybernetics, pp. 944\u2013946 (2002)"},{"key":"9_CR39","doi-asserted-by":"publisher","first-page":"1198","DOI":"10.1016\/j.procs.2013.05.286","volume":"18","author":"D Munkov\u00e1","year":"2013","unstructured":"Munkov\u00e1, D., Munk, M., Voz\u00e1r, M.: Data pre-processing evaluation for text mining: transaction\/sequence model. Procedia Comput. Sci. 18, 1198\u20131207 (2013)","journal-title":"Procedia Comput. Sci."},{"issue":"1","key":"9_CR40","first-page":"7","volume":"5","author":"S Vijayarani","year":"2015","unstructured":"Vijayarani, S., Ilamathi, M.J., Nithya, M.: Preprocessing techniques for text mining \u2013 an overview. Int. J. Comput. Sci. Commun. Netw. 5(1), 7\u201316 (2015)","journal-title":"Int. J. Comput. Sci. Commun. Netw."},{"key":"9_CR41","unstructured":"Lowe, W.: Towards a theory of semantic space. In: Annual Meeting of the Cognitive Science Society (2001)"},{"key":"9_CR42","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1613\/jair.2934","volume":"37","author":"PD Turney","year":"2010","unstructured":"Turney, P.D., Pantel, P.: From frequency to meaning: vector space models of semantics. J. Artif. Intell. Res. 37, 141\u2013188 (2010)","journal-title":"J. Artif. Intell. Res."},{"issue":"4","key":"9_CR43","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1109\/TPAMI.2008.110","volume":"31","author":"M Lan","year":"2009","unstructured":"Lan, M., Tan, C.L., Su, J., Lu, Y.: Supervised and traditional term weighting methods for automatic text categorization. IEEE Trans. Pattern Anal. Mach. Intell. 31(4), 721\u2013735 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"9_CR44","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/0306-4573(88)90021-0","volume":"24","author":"G Salton","year":"1988","unstructured":"Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Inf. Process. Manage. 24(5), 513\u2013523 (1988)","journal-title":"Inf. Process. Manage."},{"key":"9_CR45","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"An Introduction to Information Retrieval","author":"CD Manning","year":"2008","unstructured":"Manning, C.D., Raghavan, P., Sch\u00fctze, H.: An Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)"},{"key":"9_CR46","doi-asserted-by":"crossref","unstructured":"Underhill, D.G., McDowell, L.K., Marchette, D.J., Solka, J.L.: Enhancing text analysis via dimensionality reduction. In: IEEE International Conference on Information Reuse and Integration, pp. 348\u2013353 (2007)","DOI":"10.1109\/IRI.2007.4296645"},{"key":"9_CR47","unstructured":"Pechenizkiy, M., Tsymbal, A., Puuronen, S.: PCA-based feature transformation for classification: issues in medical diagnostics. In: 17th IEEE Symposium on Computer-Based Medical Systems, pp. 535\u2013540 (2004)"},{"key":"9_CR48","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: 2014 Conference on Empirical Methods in Natural Language Processing, pp. 1746\u20131751. Association for Computational Linguistics (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"9_CR49","doi-asserted-by":"crossref","unstructured":"Severyn, A., Moschitti, A.: Twitter sentiment analysis with deep convolutional neural networks. In: 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 959\u2013962. ACM (2015)","DOI":"10.1145\/2766462.2767830"},{"key":"9_CR50","doi-asserted-by":"crossref","unstructured":"Collobert, R., Weston, J.: A unified architecture for natural language processing: deep neural networks with multitask learning. In: 25th International Conference on Machine Learning, pp. 160\u2013167. ACM (2008)","DOI":"10.1145\/1390156.1390177"},{"key":"9_CR51","doi-asserted-by":"crossref","unstructured":"Baroni, M., Dinu, G., Kruszewski, G.: Don\u2019t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors. In: 52nd Annual Meeting of the Association for Computational Linguistics, pp. 238\u2013247 (2014)","DOI":"10.3115\/v1\/P14-1023"},{"key":"9_CR52","unstructured":"Firth, J.R.: A synopsis of linguistic theory 1930\u20131955. In: Palmer, F.R. (ed.) Selected Papers of 1952\u20131959, pp. 168\u2013205, Longmans, London (1957)"},{"key":"9_CR53","unstructured":"Sch\u00fctze, H., Pedersen, J.: A vector model for syntagmatic and paradigmatic relatedness. In: 9th Annual Conference of the UW Centre for the New OED and Text Research, pp. 104\u2013113 (1993)"},{"key":"9_CR54","volume-title":"Deep Learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)"},{"issue":"6","key":"9_CR55","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9","volume":"41","author":"S Deerwester","year":"1990","unstructured":"Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci. 41(6), 391\u2013407 (1990)","journal-title":"J. Am. Soc. Inf. Sci."},{"key":"9_CR56","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: GloVe: Global Vectors for Word Representation. In: 2014 Conference on Empirical Methods in Natural Language Processing, pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"9_CR57","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1162\/tacl_a_00134","volume":"3","author":"O Levy","year":"2015","unstructured":"Levy, O., Goldberg, Y., Dagan, I.: Improving distributional similarity with lessons learned from word embeddings. Trans. Assoc. Comput. Linguist. 3, 211\u2013225 (2015)","journal-title":"Trans. Assoc. Comput. Linguist."},{"issue":"11","key":"9_CR58","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1145\/361219.361220","volume":"18","author":"G Salton","year":"1975","unstructured":"Salton, G., Wong, A., Yang, C.-S.: A vector space model for automatic indexing. Commun. ACM 18(11), 613\u2013620 (1975)","journal-title":"Commun. ACM"},{"key":"9_CR59","unstructured":"Yang, Y., Pedersen, J.O.: A comparative study on feature selection in text categorization. In: 14th International Conference on Machine Learning, pp. 412\u2013420 (1997)"},{"key":"9_CR60","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"9_CR61","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/978-3-319-27030-2_16","volume-title":"Web Information Systems and Technologies","author":"S Bergamaschi","year":"2015","unstructured":"Bergamaschi, S., Po, L.: Comparing LDA and LSA topic models for content-based movie recommendation systems. In: Monfort, V., Krempels, K.-H. (eds.) WEBIST 2014. LNBIP, vol. 226, pp. 247\u2013263. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-27030-2_16"},{"key":"9_CR62","doi-asserted-by":"crossref","unstructured":"Ranzato, M.A., Szummer, M.: Semi-supervised learning of compact document representations with deep networks. In: 25th International Conference on Machine Learning, pp. 792\u2013799. ACM (2008)","DOI":"10.1145\/1390156.1390256"},{"key":"9_CR63","doi-asserted-by":"crossref","unstructured":"Cao, Z., Li, S., Liu, Y., Li, W., Ji, H.: A novel neural topic model and its supervised extension. In: 29th AAAI Conference on Artificial Intelligence, pp. 2210\u20132216 (2015)","DOI":"10.1609\/aaai.v29i1.9499"},{"key":"9_CR64","doi-asserted-by":"crossref","unstructured":"Larochelle, H., Bengio, Y.: Classification using discriminative restricted Boltzmann machines. In: 25th International Conference on Machine Learning, pp. 536\u2013543. ACM (2008)","DOI":"10.1145\/1390156.1390224"},{"issue":"1","key":"9_CR65","doi-asserted-by":"publisher","first-page":"e0146672","DOI":"10.1371\/journal.pone.0146672","volume":"11","author":"C Wei","year":"2016","unstructured":"Wei, C., Luo, S., Ma, X., Ren, H., Zhang, J., Pan, L.: Locally embedding autoencoders: a semi-supervised manifold learning approach of document representation. PLoS ONE 11(1), e0146672 (2016)","journal-title":"PLoS ONE"},{"key":"9_CR66","unstructured":"Wang, S., Manning, C.: Baselines and bigrams: simple, good sentiment and topic classification. In: 50th Annual Meeting of the Association for Computational Linguistics, pp. 8\u201314 (2012)"},{"key":"9_CR67","first-page":"181","volume":"9","author":"Y Levy","year":"2006","unstructured":"Levy, Y., Ellis, T.J.: A systems approach to conduct an effective literature review in support of information systems research. Inf. Sci. J. 9, 181\u2013212 (2006)","journal-title":"Inf. Sci. J."},{"issue":"2","key":"9_CR68","first-page":"xiii","volume":"26","author":"J Webster","year":"2002","unstructured":"Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. MIS Q. 26(2), xiii\u2013xxiii (2002)","journal-title":"MIS Q."},{"key":"9_CR69","volume-title":"The Handbook of Research Synthesis and Meta-Analysis","author":"H Cooper","year":"2009","unstructured":"Cooper, H., Hedges, L.: Research synthesis as a scientific process. In: Cooper, H., Hedges, L.V., Valentine, J.C. (eds.) The Handbook of Research Synthesis and Meta-Analysis, vol. 1. Russell Sage Foundation, New York City (2009)"},{"key":"9_CR70","unstructured":"Vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R., Cleven, A.: Reconstructing the giant: on the importance of rigour in documenting the literature search process. In: 17th European Conference on Information Systems, pp. 2206\u20132217 (2009)"},{"key":"9_CR71","unstructured":"Rehurek, R., Sojka, P.: Software framework for topic modelling with large corpora. In: LREC Workshop on New Challenges for NLP Frameworks. ELRA (2010)"},{"key":"9_CR72","unstructured":"Feuerriegel, S., Fehrer, R.: Improving decision analytics with deep learning: the case of financial disclosures. In: 24th European Conference on Information Systems (2016)"},{"key":"9_CR73","doi-asserted-by":"crossref","unstructured":"Cerchiello, P., Nicola, G., R\u00f6nnqvist, S., Sarlin, P.: Deep learning bank distress from news and numerical financial data. In: DEM Working Paper Series (2017)","DOI":"10.2139\/ssrn.3292485"},{"key":"9_CR74","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.neucom.2016.12.110","volume":"264","author":"S R\u00f6nnqvist","year":"2017","unstructured":"R\u00f6nnqvist, S., Sarlin, P.: Bank distress in the news: describing events through deep learning. Neurocomputing 264, 57\u201370 (2017)","journal-title":"Neurocomputing"},{"key":"9_CR75","doi-asserted-by":"crossref","unstructured":"Diao, Q., Qiu, M., Wu, C.-Y., Smola, A.J., Jiang, J., Wang, C.: Jointly modeling aspects, ratings and sentiments for movie recommendation. In: 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 193\u2013202. ACM (2014)","DOI":"10.1145\/2623330.2623758"},{"key":"9_CR76","doi-asserted-by":"crossref","unstructured":"Yan, J., et al.: Mining social lending motivations for loan project recommendations. Expert Syst. Appl., 1\u20137 (2018)","DOI":"10.1016\/j.eswa.2017.11.010"},{"key":"9_CR77","unstructured":"Socher, R., Pennington, J., Huang, E.H., Ng, A.Y., Manning, C.D.: Semi-supervised recursive autoencoders for predicting sentiment distributions. In: Conference on Empirical Methods in Natural Language Processing, pp. 151\u2013161 (2011)"}],"container-title":["Lecture Notes in Business Information Processing","Enterprise Applications, Markets and Services in the Finance Industry"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-19037-8_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,16]],"date-time":"2023-09-16T19:31:17Z","timestamp":1694892677000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-19037-8_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030190361","9783030190378"],"references-count":77,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-19037-8_9","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"3 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FinanceCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Enterprise Applications, Markets and Services in the Finance Industry","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Manchester","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"financecom2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.mbs.ac.uk\/events\/financecom-2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}