Authors :
Nikita Dipak Bachhav, Prashant Nitnaware
Volume/Issue :
Volume 4 - 2019, Issue 8 - August
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/2MFPVZT
Abstract :
Sentiment Analysis is a language processing
technique that categorizes textual expressions into
positive, negative or neutral. This paper provides
overview of sentiment analysis and its powerful
algorithms to extract the actual emotions from the
given text, along with the applications and its important
tools. This paper also represents comparative study of
all algorithms and their application on social media
platforms.
Keywords :
Sentiment Analysis; Polarity; Machine Learning.
Sentiment Analysis is a language processing
technique that categorizes textual expressions into
positive, negative or neutral. This paper provides
overview of sentiment analysis and its powerful
algorithms to extract the actual emotions from the
given text, along with the applications and its important
tools. This paper also represents comparative study of
all algorithms and their application on social media
platforms.
Keywords :
Sentiment Analysis; Polarity; Machine Learning.
