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

George Markopoulos*, George Mikros, Anastasia Iliadi, Michalis Liontos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Citations (Scopus)

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 languageEnglish
Title of host publicationCultural Tourism in a Digital Era - 1st International Conference IACuDiT, 2014
EditorsVicky Katsoni
PublisherSpringer Science and Business Media B.V.
Pages373-383
Number of pages11
ISBN (Print)9783319158587
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event1st International Conference on Cultural Tourism in a Digital Era, IACuDiT 2014 - Athens, Greece
Duration: 30 May 20141 Jun 2014

Publication series

NameSpringer Proceedings in Business and Economics
ISSN (Print)2198-7246
ISSN (Electronic)2198-7254

Conference

Conference1st International Conference on Cultural Tourism in a Digital Era, IACuDiT 2014
Country/TerritoryGreece
CityAthens
Period30/05/141/06/14

Keywords

  • Information retrieval
  • Machine learning
  • Natural language processing
  • Sentiment analysis
  • Text mining

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