An omicron variant tweeter sentiment analysis using NLP technique

Author:

Hosgurmath Sangamesh,Petli Vishwanath,Jalihal V.K.

Publisher

Elsevier BV

Subject

General Medicine

Reference24 articles.

1. Sentiment analysis on the impact of coronavirus in social life using the BERT model;Singh;Soc. Netw. Anal. Min.,2021

2. Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients;Subramani;Pers. Ubiquitous Comput.,2021

3. xxx International Journal of Computational Intelligence Research ISSN 0973-1873 Volume 16, Number 2 (2020), pp. 87–104 © Research India Publications doi:10.37622/IJCIR/16.2.2020.87-104.

4. The role of Artificial Intelligence (AI) in healthcare data analytics;Nguyen;Int. J. Artif. Intell. Tools,2021

5. Topic based Sentiment Analysis for COVID-19 Tweets;Abdulaziz;Int. J. Adv. Comput. Sci. Appl. (IJACSA),2021

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1. Identification and Analysis of Ecological Corridors in the Central Urban Area of Xuchang Based on Multi-Source Geospatial Data;ISPRS International Journal of Geo-Information;2024-09-06

2. Term Frequency Inverse Document Frequency based Sentiment Analysis using Machine Learning Approaches;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21

3. A Novel Paradigm for Sentiment Analysis on COVID-19 Tweets with Transfer Learning Based Fine-Tuned BERT;Advances in Technology Innovation;2023-09-28

4. Omicron virus emotions understanding system based on deep learning architecture;Journal of Ambient Intelligence and Humanized Computing;2023-04-19

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