Sentiment analysis of coronavirus data with ensemble and machine learning methods

MS Başarslan, F Kayaalp - Turkish Journal of Engineering, 2024 - dergipark.org.tr
The coronavirus pandemic has distanced people from social life and increased the use of
social media. People's emotions can be determined with text data collected from social …

Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media

K Chakraborty, S Bhatia, S Bhattacharyya, J Platos… - Applied Soft …, 2020 - Elsevier
COVID-19 originally known as Corona VIrus Disease of 2019, has been declared as a
pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented …

Comparative Analysis of Machine Learning Approaches for Twitter Sentiment Analysis

M Nivaashini, RS Soundariya… - … of Computational and …, 2018 - ingentaconnect.com
Sentiment investigation is predominantly terrified with discovering and categorizing opinions
or emotions that are expressed within a text. Nowadays, imparting sentiments and …

[HTML][HTML] Sentiment analysis of COVID-19 social media data through machine learning

D Dangi, DK Dixit, A Bhagat - Multimedia tools and applications, 2022 - Springer
Pandemics are a severe threat to lives in the universe and our universe encounters several
pandemics till now. COVID-19 is one of them, which is a viral infectious disease that …

Towards harnessing based learning algorithms for tweets sentiment analysis

K AbdulSattar, Q Obeidat… - … Conference on Innovation …, 2020 - ieeexplore.ieee.org
In the digital era of information, the number of web users and the volume of data being
generated and exchanged over the internet has drastically increased. Sentiment analysis …

COVID-19: machine learning methods applied for twitter sentiment analysis of Indians before, during and after lockdown

HS Hota, DK Sharma, N Verma - International Journal of …, 2023 - inderscienceonline.com
This paper emphasises the analysing sentiment of Indian citizens based on Twitter data
using machine learning (ML) based approaches. The sentiment of about 1, 51,798 tweets …

Analysis of machine learning approaches for sentiment analysis of Twitter data

D Gupta, M Madhukar - Journal of Computational and …, 2020 - ingentaconnect.com
For the past few years, sentiment analysis has been growing rapidly and with the
abundance of computation power and plethora of machine learning algorithms, sentiment …

Comparative study of twitter sentiment on covid-19 tweets

AJ Nair, G Veena, A Vinayak - 2021 5th International …, 2021 - ieeexplore.ieee.org
Recently, the number of tweets on COVID-19 are increasing at an unprecedented rate by
including positive, negative and neutral tweets. This diversified nature of tweets has …

Sentiment analysis of tweets using deep learning

J Ranganathan, T Tsahai - … Conference on Advanced Data Mining and …, 2022 - Springer
The coronavirus pandemic has caused a worldwide crisis and a drastic change in day-to-
day life activities. Worldwide, people use social media platforms to share and discuss their …

An effective PSO-adaboost algorithm based opinion mining for COVID-19-related tweets classification from social media

S Sivabalan, D Dharani, D Deepa, S Sridhar… - AIP Conference …, 2024 - pubs.aip.org
Public opinion analytics provided extremely helpful insight into the most effective course of
action for public health officials to take during the present COVID-19 epidemic. At the same …