An NLP Technique on Sentiment Analysis
Aadesh Attri1, Alok Rai2, Yash Malhotra3
1Aadesh Attri, Department Computer Science Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India.
2Alok Rai, Department Computer Science Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India.
3Yash Malhotra, Department Computer Science Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India.
Manuscript received on 30 June 2023 | Revised Manuscript received on 23 July 2023 | Manuscript Accepted on 15 February 2024 | Manuscript published on 28 February 2024 | PP: 28-31 | Volume-13 Issue-3, February 2024 | Retrieval Number: 100.1/ijitee.H96790712823 | DOI: 10.35940/ijitee.H9679.13030224
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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 other classification 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.
Keywords: Support Vector Machine, Deep Learning /Machine Learning, social media
Scope of the Article: Deep Learning