Exploration of COVID 19 Tweets Data for the Prediction of Negative Ontologies through Deep Learning Techniques-Reference-Cited by-同舟云学术

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Exploration of COVID 19 Tweets Data for the Prediction of Negative Ontologies through Deep Learning Techniques

Published:2022-04-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
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Author:

Vaddadi Vasudha Rani¹,Das Smritilekha²,V Anupama³

Affiliation:

1. JNTUK Affiliation,GMRIT, An Autonomous Institute,Departement of Computer Science and Engineering,India

2. Koneru Lakshmaiah Education Foundation,Departement of CSE,Vaddeswaram,India

3. Lendi Institute of Engineering and Technology,Departement of CSE,Vizianagaram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9792621/9792636/09792973.pdf?arnumber=9792973

Reference15 articles.

1. Significance Of Multilayer Perceptron Model For Early Detection Of Diabetes Over Ml Methods

2. SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis

3. Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

4. Public Opinion Analysis on Novel Coronavirus Pneumonia and Interaction With Event Evolution in Real World

5. The Longest Month: Analyzing COVID-19 Vaccination Opinions Dynamics From Tweets in the Month Following the First Vaccine Announcement

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modified Aquila Optimizer with Stacked Deep Learning-Based Sentiment Analysis of COVID-19 Tweets;Electronics;2023-10-03

2. Sentiment Analysis On Covid-19 Outbreak Awareness Using Naïve Bayes Algorithm;2022 International Visualization, Informatics and Technology Conference (IVIT);2022-11-01

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