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

George Markopoulos; Georgios Mikros; Anastasia Iliadi; Michalis Liontos

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

George Markopoulos
, Georgios Mikros
, Anastasia Iliadi
, Michalis Liontos

University of Athens

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Cultural Tourism in a Digital Era
Publication status	Published - 2014
Externally published	Yes

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Cite this

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title = "Sentiment Analysis of Hotel Reviews in Greek: A Comparison of Unigram Features Article",

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. ",

author = "George Markopoulos and Georgios Mikros and Anastasia Iliadi and Michalis Liontos",

year = "2014",

language = "English",

booktitle = "Cultural Tourism in a Digital Era",

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T1 - Sentiment Analysis of Hotel Reviews in Greek: A Comparison of Unigram Features Article

AU - Markopoulos, George

AU - Mikros, Georgios

AU - Iliadi, Anastasia

AU - Liontos, Michalis

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - Cultural Tourism in a Digital Era

ER -

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

Abstract

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