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  • Search: subject:"Document Classification"
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Year of publication
Subject
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document classification 5 Classification 4 Klassifikation 4 Document Classification 3 Document classification 3 Big Data 2 Econometric and Statistical Methods 2 Knowledge transfer 2 Natural Language Processing 2 Patents 2 Pattern Recognition and Data Mining 2 SVM 2 Stock Market 2 Time-Series Analysis 2 Wissenstransfer 2 jurimetry 2 legal proceedings 2 natural language processing 2 Artificial intelligence 1 Authorship Attribution Problem 1 BIC 1 Bauwirtschaft 1 Character Recognition 1 China 1 Chinese document classification 1 Cluster analysis 1 Clusteranalyse 1 Common N-grams 1 Construction industry 1 Data Mining 1 Data mining 1 Deep learning 1 Economic Models and Forecasting 1 Expert Systems 1 Forecast 1 Fuzzy Logic 1 Handwritten Documents 1 Hindi Document Classification 1 Image Text Processing 1 Innovation management 1
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Online availability
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Undetermined 6 Free 4
Type of publication
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Article 12 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Congress Report 2 Working Paper 2 Arbeitspapier 1 Conference paper 1 Graue Literatur 1 Konferenzbeitrag 1 Non-commercial literature 1 research-article 1
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Language
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English 9 Undetermined 3 Portuguese 2
Author
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Geva, Shlomo 2 Gomes, Lucas Moreira 2 Peng, Yaohao 2 Robertson, Calum S. 2 Wolff, Rodney C. 2 Christen, Peter 1 Chung, Fu-Lai 1 Clifton, Christopher W. 1 Costa, Ruben 1 Diurdeva, Polina 1 Guan, Guoyu 1 Guo, Jianhua 1 Hu, Jie 1 Jiang, Shuo 1 Kennedy, Paul 1 Kolyshkina, Inna 1 Krestel, Ralf 1 Law, K. S. 1 Li, Jiuyong 1 Lima, Celson 1 Luo, Jianxi 1 Magee, Christopher L. 1 Martens, David 1 Mikhailova, Elena 1 Provost, Foster 1 Puri, Shalini 1 Rai, Varun 1 Ramakrishnan, Naren 1 Risch, Julian 1 Shalymov, Dmitry 1 Shi, Yong 1 Singh, Satya Prakash 1 Sá, Jader Martins Camboim de 1 Venugopalan, Subhashini 1 Wang, Haibo 1 Wang, Hansheng 1 Williams, Graham 1 Wu, Xindong 1 Xu, Yaquan 1 Zaïane, Osmar R. 1
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Published in...
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Data Technologies and Applications 1 IEEE transactions on engineering management : EM ; a publication of the IEEE Engineering Management Society 1 Intelligent systems in accounting finance and management : international journal 1 International Journal of Data Analysis Techniques and Strategies 1 International Journal of Embedded and Real-Time Communication Systems (IJERTCS) 1 International Journal of Rough Sets and Data Analysis (IJRSDA) 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Journal of management analytics 1 Management information systems : mis quarterly 1 Technological forecasting & social change : an international journal 1 Texto para Discussão 1 Texto para discussão / Instituto de Pesquisa Econômica Aplicada 1
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Source
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ECONIS (ZBW) 7 Other ZBW resources 3 BASE 2 EconStor 1 RePEc 1
Showing 11 - 14 of 14
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Varying naïve Bayes models with applications to classification of Chinese text documents
Guan, Guoyu; Guo, Jianhua; Wang, Hansheng - In: Journal of business & economic statistics : JBES ; a … 32 (2014) 3, pp. 445-456
Persistent link: https://www.econbiz.de/10010488472
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Can the Content of Public News be used to Forecast Abnormal Stock Market Behaviour?
Robertson, Calum S.; Geva, Shlomo; Wolff, Rodney C. - 2007
A popular theory of markets is that they are efficient: all available information is deemed to provide an accurate valuation of an asset at any time. In this paper, we consider how the content of market-related news articles contributes to such information. Specifically, we mine news articles...
Persistent link: https://www.econbiz.de/10009437638
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News Aware Volatility Forecasting: Is the Content of News Important?
Robertson, Calum S.; Geva, Shlomo; Wolff, Rodney C. - 2007
The efficient market hypothesis states that the market incorporates all available information to provide an accurate valuation of the asset at any given time. However, most models for forecasting the return or volatility of assets completely disregard the arrival of asset specific news (i.e.,...
Persistent link: https://www.econbiz.de/10009437639
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A new feature selection method based on support vector machines for text categorisation
Xu, Yaquan; Wang, Haibo - In: International Journal of Data Analysis Techniques and … 3 (2011) 1, pp. 1-20
As a machine intelligence paradigm, the support vector machines (SVMs) have tremendous potential for helping people to classify text document into a fixed number of predefined categories. The purpose of this paper is to discuss a new method of feature selection combined with principal component...
Persistent link: https://www.econbiz.de/10009352810
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