Natural Language Processing as Feature Extraction Method for Building Better Predictive Models (CROSBI ID 58339)
Prilog u knjizi | izvorni znanstveni rad
Podaci o odgovornosti
Klepac, Goran ; Velić, Marko
engleski
Natural Language Processing as Feature Extraction Method for Building Better Predictive Models
This chapter covers natural language processing techniques and their application in predicitve models development. Two case studies are presented. First case describes a project where textual descriptions of various situations in call center of one telecommunication company were processed in order to predict churn. Second case describes sentiment analysis of business news and describes practical and testing issues in text mining projects. Both case studies depict different approaches and are implemented in different tools. Language of the texts processed in these projects is Croatian which belongs to the Slavic group of languages with more complex morphologies and grammar rules than English. Chapter concludes with several points on the future research possible in this domain.
Natural Language Processing
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Podaci o prilogu
141-166.
objavljeno
Podaci o knjizi
Modern Computational Models of Semantic Discovery in Natural Language
Jan Žižka (Mendel University in Brno, Czech Republic) and František Dařena (Mendel University in Brno, Czech Republic)
IGI Global
2015.
9781466686908