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Natural Language Processing as Feature Extraction Method for Building Better Predictive Models (CROSBI ID 58349)

Prilog u knjizi | izvorni znanstveni rad

Klepac, Goran ; Velić, Marko Natural Language Processing as Feature Extraction Method for Building Better Predictive Models // Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (4 Volumes) / Information Resources Management Association (USA) (ur.).: IGI Global, 2017. str. 1913-1937

Podaci o odgovornosti

Klepac, Goran ; Velić, Marko

engleski

Natural Language Processing as Feature Extraction Method for Building Better Predictive Models

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.

Artificial Intelligence

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Podaci o prilogu

1913-1937.

objavljeno

Podaci o knjizi

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (4 Volumes)

Information Resources Management Association (USA)

IGI Global

2017.

9781522517597

Povezanost rada

Informacijske i komunikacijske znanosti