A Novel Auto Encoder-Network-Based Ensemble Technique for Sentiment Analysis Using Tweets on COVID-19 Data

R Jyothsna, V Rohini, P Joy - Machine Intelligence, 2023 - taylorfrancis.com
The advances in digitalization have resulted in social media sites like Twitter and Facebook
becoming very popular. People are able to express their opinions on any subject matter …

An Exhaustive Sentiment and Emotion Analysis of COVID-19 Tweets Using Machine Learning, Ensemble Learning and Deep Learning Techniques

J Kaur, S Patel, M Vasani, JR Saini - Advances in Information …, 2023 - Springer
COVID-19 has been generating new variations one after the other and there is no end to it.
Even though vaccines are out, the cases are skyrocketing after each day while the number …

Sentiment analysis of COVID-19 tweets by machine learning and deep learning classifiers

R Jain, S Bawa, S Sharma - Advances in Data and Information Sciences …, 2022 - Springer
Sentiment analysis helps in deciding the emotions of a person that they like to express as
neutral, negative, or positive. Many algorithms of machine learning and deep learning exist …

Analysis of sentiments on the onset of COVID-19 using machine learning techniques

V Arya, AKM Mishra, A González Briones - 2022 - gredos.usal.es
The novel coronavirus (Covid-19) pandemic has struck the whole world and is one of the
most striking topics on social media platforms. Sentiment outbreak on social media enduring …

Sentiment analysis of Twitter data using machine learning: COVID-19 perspective

S Srivastava, MK Sarkar… - International Journal of …, 2024 - inderscienceonline.com
The 2019 COVID-19 pandemic has affected people worldwide. Social media has become a
global platform for individuals to voice their diverse perspectives on the pandemic, which …

Ensemble learning for sentiment analysis on Twitter data related to Covid-19 preventions

SD Sancoko, S Diwandari… - … Conference on Information …, 2022 - ieeexplore.ieee.org
The World Health Organization (WHO) declared the 2019 Coronavirus disease outbreak
(Covid-19) as a pandemic and made it a trending topic on social media platforms, such as …

A proposed sentiment analysis deep learning algorithm for analyzing COVID-19 tweets

H Kaur, SU Ahsaan, B Alankar, V Chang - Information Systems Frontiers, 2021 - Springer
With the rise in cases of COVID-19, a bizarre situation of pressure was mounted on each
country to make arrangements to control the population and utilize the available resources …

[PDF][PDF] A Hybrid Approach to Analyse the Public Sentiment on Covid-19 Tweets

RK Jana, D Singh, S Maity… - Indian Journal …, 2024 - sciresol.s3.us-east-2.amazonaws …
Objectives: The objective of this study is to introduce a hybrid model for analyzing the people
sentiment on covid-19 tweets. Methods: We used a total no. of 27,500 datasets, 70% of the …

[PDF][PDF] Machine learning model for sentiment analysis of COVID-19 tweets

M Aljabri, SS Aljameel, IU Khan, N Aslam… - Int J Adv Sci Eng Inf …, 2022 - researchgate.net
COVID-19 pandemic presents unprecedented challenges and enormously affects different
aspects of individuals' lives worldwide. The implementation of different prevention …

[PDF][PDF] Sentiment Analysis on Covid-19 Using Deep Learning

S Mehta, S Pednekar - P-Id: IJRASET45872, 2022 - academia.edu
The social media has immense popularity among all the services today. Twitter is one of the
widely used platform by people to express their opinions and display sentiments on different …