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  4. Adapting established text representations for predicting review sentiment in Turkish
 
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2020
Conference Paper
Title

Adapting established text representations for predicting review sentiment in Turkish

Abstract
Natural Language Processing, and specifically Sentiment Analysis are still unexplored topics with respect to Turkish text. A key challenge is to extract meaningful word and paragraph representations. We provide a comprehensive overview on pre-processing and featurization methods for this problem. Our focus is on the inherent difficulties that come with analyzing Turkish real-world data from the e-commerce domain, such as inconsistent spelling or complicated morphological and grammatical structures.
Author(s)
Çavusoglu, I.
Pielka, Maren  
Sifa, Rafet  
Mainwork
IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020. Proceedings  
Conference
International Conference on Data Science and Advanced Analytics (DSAA) 2020  
DOI
10.1109/DSAA49011.2020.00100
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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