Application of Machine Learning Algorithms for Analyzing Sentiments Using Twitter Dataset-Reference-Cited by-同舟云学术

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Application of Machine Learning Algorithms for Analyzing Sentiments Using Twitter Dataset

Published:2024-07-10 Issue: Volume:13 Page:1392-1397
ISSN:
Container-title:2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)
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Author:

Rewatkar Bhairavi¹,Barhate Aditya²,Verma Prateek²

Affiliation:

1. Datta Meghe Institute of Higher Education and Research,Faculty of Engineering and Technology,Department of Artificial Intelligence and Data Science,Wardha,Maharashtra,India,442001

2. Datta Meghe Institute of Higher Education and Research,Faculty of Engineering and Technology,Department of Artificial Intelligence and Machine Learning,Wardha,Maharashtra,India,442001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624685/10624738/10624990.pdf?arnumber=10624990

Reference24 articles.

1. Sentiment Analysis of Tweets Using Supervised Machine Learning Techniques Based on Term Frequency;Aggarwal;Journal of Information Technology Management,2021

2. Sentiment Analysis Using Machine Learning Classifiers: Evaluation of Performance

3. Comparative analysis of machine learning-based classification models using sentiment classification of tweets related to COVID-19 pandemic

4. What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing

5. Automatic hate speech detection using killer natural language processing optimizing ensemble deep learning approach

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