A Robust Approach to Analyse Sentiments for Trending Hashtags

Authors

  • Ms. Priyanka Nandal Maharaja Surajmal Institute of Technology, GGSIPU, Delhi, India

Keywords:

Bigram, Naïve Bayes, Opinion Mining, Sentiment Analysis, Unigram

Abstract

Interest in opinion mining or sentiment analysis has developed exponentially in the recent years. Opinion
mining or sentiment analysis can be defined as the computational study of people’s opinions, sentiments, attitudes, and
emotions present in written form. Billions of opinions are shared on social websites every day. Therefore these sites serve
as ample data source for sentiment analysis or opinion mining. In the present work twitter is used as the data source for
sentiment analysis. English language is used for the analysis as it is easier to use this language as compared to other
languages.

Published

2017-10-25

How to Cite

Ms. Priyanka Nandal. (2017). A Robust Approach to Analyse Sentiments for Trending Hashtags. International Journal of Advance Engineering and Research Development (IJAERD), 4(10), 530–534. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/3891