A Comparative Analysis of Opinion Mining and Sentiment Classification in Non-english Languages

Date
2013-12-11
Authors
Medagoda, N
Shanmuganathan, S
Whalley, JL
Supervisor
Item type
Conference Contribution
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract

In the past decade many opinion mining and sentiment classification studies have been carried out for opinions in English. However, the amount of work done for non-English text opinions is very limited.In this review, we investigate opinion mining and sentiment classification studies in three non-English languages to find the classification methods and the efficiency of each algorithm used in these methods. It is found that most of the research conducted for non-English has followed the methods used in the English language with onlylimited usage of language specific properties, such as morphological variations. The application domains seem to be restricted to particular fields and significantly less research has been conducted in cross domains. Keywords—Natural Language processing, Text mining, Machine Learning.

Description
Keywords
Natural Language processing , Text mining , Machine Learning
Source
In Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on (pp. 144-148). IEEE.
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