Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques

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Analysis of Multilingual Sentiment and Opinion Classification Techniques</title> <meta name="description" content="Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques"> <meta name="keywords" content="Cross-language analysis, machine learning, machine translation, sentiment analysis."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques"> <meta name="citation_author" content="Sannikumar Patel"> <meta name="citation_author" content="Brian Nolan"> <meta name="citation_author" content="Markus Hofmann"> <meta name="citation_author" content="Philip Owende"> <meta name="citation_author" content="Kunjan Patel"> <meta name="citation_publication_date" content="2017/04/01"> <meta name="citation_journal_title" 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Multilingual Sentiment and Opinion Classification Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Sannikumar%20Patel">Sannikumar Patel</a>, <a href="https://publications.waset.org/search?q=Brian%20Nolan"> Brian Nolan</a>, <a href="https://publications.waset.org/search?q=Markus%20Hofmann"> Markus Hofmann</a>, <a href="https://publications.waset.org/search?q=Philip%20Owende"> Philip Owende</a>, <a href="https://publications.waset.org/search?q=Kunjan%20Patel"> Kunjan Patel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Sentiment analysis and opinion mining have become emerging topics of research in recent years but most of the work is focused on data in the English language. A comprehensive research and analysis are essential which considers multiple languages, machine translation techniques, and different classifiers. This paper presents, a comparative analysis of different approaches for multilingual sentiment analysis. These approaches are divided into two parts: one using classification of text without language translation and second using the translation of testing data to a target language, such as English, before classification. The presented research and results are useful for understanding whether machine translation should be used for multilingual sentiment analysis or building language specific sentiment classification systems is a better approach. The effects of language translation techniques, features, and accuracy of various classifiers for multilingual sentiment analysis is also discussed in this study.</p> <iframe src="https://publications.waset.org/10007144.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Cross-language%20analysis" title="Cross-language analysis">Cross-language analysis</a>, <a href="https://publications.waset.org/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/search?q=machine%0D%0Atranslation" title=" machine translation"> machine translation</a>, <a href="https://publications.waset.org/search?q=sentiment%20analysis." title=" sentiment analysis."> sentiment analysis.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1130529" target="_blank">doi.org/10.5281/zenodo.1130529</a> </p> <a href="https://publications.waset.org/10007144/sentiment-analysis-comparative-analysis-of-multilingual-sentiment-and-opinion-classification-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10007144/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10007144/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10007144/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10007144/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10007144/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10007144/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10007144/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10007144/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10007144/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10007144/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10007144.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1666</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 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Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques