Pregled bibliografske jedinice broj: 867198
Natural Language Processing as Feature Extraction Method for Building Better Predictive Models
Natural Language Processing as Feature Extraction Method for Building Better Predictive Models // 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) (ur.)., 2015. str. 141-166
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Naslov
Natural Language Processing as Feature Extraction Method for Building Better Predictive Models
Autori
Klepac, Goran ; Velić, Marko
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Modern Computational Models of Semantic Discovery in Natural Language
Urednik/ci
Jan Žižka (Mendel University in Brno, Czech Republic) and František Dařena (Mendel University in Brno, Czech Republic)
Izdavač
IGI Global
Godina
2015
Raspon stranica
141-166
ISBN
9781466686908
Ključne riječi
Natural Language Processing
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
