Sentiment Analysis of Hotel Reviews in Greek: A Comparison of Unigram Features

George Markopoulos (), George Mikros (), Anastasia Iliadi () and Michalis Liontos ()
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George Markopoulos: University of Athens
George Mikros: University of Athens, School of Philosophy
Anastasia Iliadi: University of Athens
Michalis Liontos: University of Athens

A chapter in Cultural Tourism in a Digital Era, 2015, pp 373-383 from Springer

Abstract: Abstract Web 2.0 has become a very useful information resource nowadays, as people are strongly inclined to express online their opinion in social media, blogs and review sites. Sentiment analysis aims at classifying documents as positive or negative according to their overall expressed sentiment. In this paper, we create a sentiment classifier applying Support Vector Machines on hotel reviews written in Modern Greek. Using a unigram language model, we compare two different methodologies and the emerging results look very promising.

Keywords: Sentiment analysis; Text mining; Information retrieval; Machine learning; Natural language processing (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-15859-4_31

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DOI: 10.1007/978-3-319-15859-4_31

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