An International Publisher for Academic and Scientific Journals
Author Login
Scholars Journal of Engineering and Technology | Volume-5 | Issue-09
Multilingual Sentiment Analysis on Twitter dataset using Naive Bayes Algorithm
Natasha Suri, Toran Verma
Published: Sept. 30, 2017 |
260
201
Pages: 473-477
Downloads
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”.