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

izvorni znanstveni rad

izvorni znanstveni rad

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

Vrsta prilog u knjizi
Tip izvorni znanstveni rad
Godina 2017
Nadređena publikacija Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (4 Volumes)
Stranice str. 1913-1937
Status objavljeno

Sažetak

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.

Ključne riječi

Artificial Intelligence