Sentiment Analysis of Hotel Reviews in Greek: A Comparison of Unigram Features
Springer proceedings in business and economicsPublished 1 January 2015
George Markopoulos, George Mikros, Anastasia Iliadi, Michalis Liontos
Citations31
SJR score0.17
SNIP0.24
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TL;DR
This paper creates a sentiment classifier applying Support Vector Machines on hotel reviews written in Modern Greek using a unigram language model and the emerging results look very promising.
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
Computer Science
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