Multilingual Sentiment Analysis on Twitter dataset using Naive Bayes Algorithm
Journal Title: Scholars Journal of Engineering and Technology - Year 2017, Vol 5, Issue 9
Abstract
Sentiment Analysis which frequently passes by the name opinion mining is one of the noticeable field in lots of research is going ahead because of its interminable application like online networking monitoring, product reviews and so on. Be that as it may, because of the noticeable utilization of social media the utilization of multilingual statements has turned out to be most basic as client tends to in their own particular safe place. These multilingual statements emerge due the utilization of more than one language to create a statement. Because of absence of clear grammatical structure it is exceptionally hard to discover correct sentiment out of it. This paper presents the analysis of sentiments of 4 languages tweets by applying Naïve Bayes algorithm. Our proposed method, effectively identify the sentiments of the users by utilizing their twitter walls comments and posts. We have analyzed a very famous movie, “Baahubali” with hash tag of “Baahubali2”. Keywords:NLP, Text Mining, Machine Learning, Multilingual Sentiment Analysis
Authors and Affiliations
Natasha Suri, Prof. Toran Verma
Keywords
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