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Sentimental Data Analysis-To Predict the User Emotions

    Pranesh S Jenita J R Nisha D Prabakar D

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue ICARD-2021 3S, Pages 26-29
10.47392/irjash.2021.056

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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.     
Keywords:
    Survey Analysing Polarity Score Sentimental Result
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(2021). Sentimental Data Analysis-To Predict the User Emotions. International Research Journal on Advanced Science Hub, 3(Special Issue ICARD-2021 3S), 26-29. doi: 10.47392/irjash.2021.056
Pranesh S; Jenita J R; Nisha D; Prabakar D. "Sentimental Data Analysis-To Predict the User Emotions". International Research Journal on Advanced Science Hub, 3, Special Issue ICARD-2021 3S, 2021, 26-29. doi: 10.47392/irjash.2021.056
(2021). 'Sentimental Data Analysis-To Predict the User Emotions', International Research Journal on Advanced Science Hub, 3(Special Issue ICARD-2021 3S), pp. 26-29. doi: 10.47392/irjash.2021.056
Sentimental Data Analysis-To Predict the User Emotions. International Research Journal on Advanced Science Hub, 2021; 3(Special Issue ICARD-2021 3S): 26-29. doi: 10.47392/irjash.2021.056
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