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A multi-level text classifier for feedback analysis using tweets to enhance product performance
Balusamy, Balamurugan; Maruli, Thusitha; Thangavelu, … - In: International journal of electronic marketing and … 6 (2015) 4, pp. 315-338
Persistent link: https://www.econbiz.de/10011523825
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A study of feature selection techniques for predicting customer retention in telecommunication sector
Sivasankar, E.; Vijaya, J. - In: International journal of business information systems : … 31 (2019) 1, pp. 1-26
Persistent link: https://www.econbiz.de/10012062925
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Estimation of cross-lingual news similarities using text-mining methods
Wang, Zhouhao; Liu, Enda; Sakaji, Hiroki; Ito, Tomoki; … - In: Journal of risk and financial management : JRFM 11 (2018) 1, pp. 1-13
In this research, two estimation algorithms for extracting cross-lingual news pairs based on machine learning from financial news articles have been proposed. Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and tweets are generated on the...
Persistent link: https://www.econbiz.de/10011855132
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Depth-based support vector classifiers to detect data nests of rare events
Dyckerhoff, Rainer; Stenz, Hartmut Jakob - In: International journal of computational economics and … 11 (2021) 2, pp. 107-142
Persistent link: https://www.econbiz.de/10012507582
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Functional-bandwidth kernel for Support Vector Machine with Functional Data : an alternating optimization algorithm
Blanquero, R.; Carrizosa, Emilio; Jiménez-Cordero, A.; … - In: European journal of operational research : EJOR 275 (2019) 1, pp. 195-207
Persistent link: https://www.econbiz.de/10011993243
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On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas - 2004
nonparametric approach based on a combination of kernel logistic regression and ¡support vector regression. …
Persistent link: https://www.econbiz.de/10010516923
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On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas - 2004
nonparametric approach based on a combination of kernel logistic regression and ¡support vector regression. …
Persistent link: https://www.econbiz.de/10010306241
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On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas - Institut für Wirtschafts- und Sozialstatistik, … - 2004
nonparametric approach based on a combination of kernel logistic regression and ¡support vector regression. …
Persistent link: https://www.econbiz.de/10009295203
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A patent search strategy based on machine learning for the emerging field of service robotics
Kreuchauff, Florian Heiko; Korzinov, Vladimir V. - 2015
-gram frequency vectors and train a support vector machine (SVM), relying only on titles, abstracts and IPC categorization of each … document. Altering the utilized Kernel functions and respective parameters we reach a recall level of 83% and precision level …
Persistent link: https://www.econbiz.de/10011342183
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Application of support vector machine for Arabic sentiment classification using Twitter-based dataset
Alyami, Sarah N.; Olatunji, Sunday O. - In: Journal of information & knowledge management : JIKM 19 (2020) 1, pp. 2040018-1-2040018-13
Persistent link: https://www.econbiz.de/10012292664