Authors :
Piyush Singh Pasi, Runal Pimpale, Satyam Tiwari, Bhavesh Panchal
Volume/Issue :
Volume 5 - 2020, Issue 5 - May
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2Xul2KX
Abstract :
Sentiment analysis has evolved over the past
few decades, Sentiment analysis has evolved over the
past few decades. However, most of the work in it
revolved around textual sentiment analysis. On the
other hand, audio-visual sentiment analysis is still in a
nascent stage. It is hard to identify an emotion based on
only facial expression as it can cause ambiguity since
expressions of a human face may not convey the exact
emotion as their speech does. Identifying sentiments is
mostly hindered by 2 classes (positive, negative) or in
some cases 3 classes (positive, negative, neutral)
Keywords :
Natural Language Processing, Sentiment Analysis, Neural Network, Image Processing.
Sentiment analysis has evolved over the past
few decades, Sentiment analysis has evolved over the
past few decades. However, most of the work in it
revolved around textual sentiment analysis. On the
other hand, audio-visual sentiment analysis is still in a
nascent stage. It is hard to identify an emotion based on
only facial expression as it can cause ambiguity since
expressions of a human face may not convey the exact
emotion as their speech does. Identifying sentiments is
mostly hindered by 2 classes (positive, negative) or in
some cases 3 classes (positive, negative, neutral)
Keywords :
Natural Language Processing, Sentiment Analysis, Neural Network, Image Processing.
