An NLP Technique on Sentiment Analysis

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Aadesh Attri
Alok Rai
Yash Malhotra

Abstract

We have to structure the data which was given to us from the Twitter social media for accurate analysis and make something outof it. We will be finding the sentiment behind the given comment by a user on twitter so that we can sort out the meaning of the text. To get the negativeemotions of the text, we will be using different algorithms to find the intention behind it. Fathom this kind of issue, estimation investigation and profound learning methods are two combining methods. We are using Naive Bayes algorithms, SVM (Support Vector Machine) and otherclassification algorithms to get our required output.These are known deep learning /Machine Learning ways to extract the feelings in sentences. At the end of the result we will get the desired output and we will check the accuracy of our output accordingly.

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[1]
Aadesh Attri, Alok Rai, and Yash Malhotra , Trans., “An NLP Technique on Sentiment Analysis”, IJITEE, vol. 13, no. 3, pp. 28–31, Mar. 2024, doi: 10.35940/ijitee.H9679.13030224.
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How to Cite

[1]
Aadesh Attri, Alok Rai, and Yash Malhotra , Trans., “An NLP Technique on Sentiment Analysis”, IJITEE, vol. 13, no. 3, pp. 28–31, Mar. 2024, doi: 10.35940/ijitee.H9679.13030224.
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