Sentiment Analysis is a text mining technique used to analyze the underlying sentiment of a tweet which may be positive, negative, or neutral. Twitter sentiment analysis has a number of applications:
Business: Companies use Twitter Sentiment Analysis to improve their business strategies, to understand the opinions of customers towards newly launched products or service, and also why consumers are not buying certain products.
Politics: Twitter Sentiment Analysis is used to keep track of political views, public opinion to policy announcements and campaign messages, to detect consistency and inconsistency between statements and actions at the government level. Twitter Sentiment Analysis also plays major role in analyzing election results.
Public Actions: Twitter Sentiment Analysis also is used for understand and analyzing social phenomena, for predicting dangerous situations and understanding the general mood of the blogosphere.
If you want to learn Sentiment analysis along with hands-on projects, you can enroll in this NLP Certification by Intellipaat.
Also, watch this video on Sentiment Analysis:
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