Sentimental Data Analysis-To Predict the User Emotions
International Research Journal on Advanced Science Hub,
2021, Volume 3, Issue Special Issue ICARD-2021 3S, Pages 26-29
10.47392/irjash.2021.056
Abstract
Creating a survey website in which the information will be updated automatically by analyzing the data in social media. In our project we are collecting the data from the user's through Application program interface and predicting the result of data whether is positive or negative emotions of text. The Neutral emotions are calculated through polarity score which represents the percentage of text emotions of a collected set of data. This way of predicting the data of user's helps to improve user's need and also understanding the user mindset ,through that satisfying their needs and service. Biggest advantage of using the concept of sentiment analysis is to improve the user needs by directly collecting the data from the large set of users.
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