Authors :
Hifza Qureshi; Arun Prakash Agarwal
Volume/Issue :
Volume 7 - 2022, Issue 5 - May
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/38qjxqz
Abstract :
Sentiment Analysis, sometimes also referred to
as Opinion Mining, is the study of the sentiments of
humans and their different states of mind. It is a
technique which determines whether a sentiment is good,
neutral or negative. Traditionally Sentiment Analysis was
frequently used to identify polarity of Textual data.
Social-Media is widely used now and is a very important
source of sharing your thoughts, ideas and even now is
used for promoting your business. The most popular
application of Sentiment Analysis can be seen in Social
Media Analytics. The analysis of Social Media helps us to
acquire a broad understanding of opinions made by
people upon a specific topic. Since visual content such as
photographs and videos is becoming a new medium for
self-expression in social networks, multimedia sentiment
analysis has gained a lot of attraction. In this paper we
propose an way to perform sentiment analysis on videos
by identifying the various facial expressions by using
techniques of CNN and Deep Learning..The goal of this
study is to create a system that can evaluate a video and
anticipate a person's expression.
Keywords :
CNN, Deep Learning, Face Emotion Recognition.
Sentiment Analysis, sometimes also referred to
as Opinion Mining, is the study of the sentiments of
humans and their different states of mind. It is a
technique which determines whether a sentiment is good,
neutral or negative. Traditionally Sentiment Analysis was
frequently used to identify polarity of Textual data.
Social-Media is widely used now and is a very important
source of sharing your thoughts, ideas and even now is
used for promoting your business. The most popular
application of Sentiment Analysis can be seen in Social
Media Analytics. The analysis of Social Media helps us to
acquire a broad understanding of opinions made by
people upon a specific topic. Since visual content such as
photographs and videos is becoming a new medium for
self-expression in social networks, multimedia sentiment
analysis has gained a lot of attraction. In this paper we
propose an way to perform sentiment analysis on videos
by identifying the various facial expressions by using
techniques of CNN and Deep Learning..The goal of this
study is to create a system that can evaluate a video and
anticipate a person's expression.
Keywords :
CNN, Deep Learning, Face Emotion Recognition.
