Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries

D Sunitha, RK Patra, NV Babu, A Suresh… - Pattern Recognition …, 2022 - Elsevier
As of November 2021, more than 24.80 crore people are diagnosed with the coronavirus in
that around 50.20 lakhs people lost their lives, because of this infectious disease. By …

Sentiment analysis and text analysis of the public discourse on Twitter about COVID-19 and MPox

N Thakur - Big Data and Cognitive Computing, 2023 - mdpi.com
Mining and analysis of the big data of Twitter conversations have been of significant interest
to the scientific community in the fields of healthcare, epidemiology, big data, data science …

A Mixed Malay–English Language COVID-19 Twitter Dataset: A Sentiment Analysis

JTH Kong, FH Juwono, IY Ngu, IGD Nugraha… - Big Data and Cognitive …, 2023 - mdpi.com
Social media has evolved into a platform for the dissemination of information, including fake
news. There is a lot of false information about the current situation of the Coronavirus …

A novel TCNN–Bi‐LSTM deep learning model for predicting sentiments of tweets about COVID‐19 vaccines

S Aslan - Concurrency and Computation: Practice and …, 2022 - Wiley Online Library
Many researchers in various disciplines have focused on extracting meaningful information
from social media platforms in recent years. Identification of behaviors and emotions from …

Prediction of people sentiments on twitter using machine learning classifiers during russian-ukrainian conflict

MR Baker, YN Taher - 2023 - researchsquare.com
Social media has become an excellent way to discover people's thoughts about various
topics and situations. In recent years, many studies have focused on social media during …

[PDF][PDF] PREDICTION OF PEOPLE SENTIMENTS ON TWITTER USING MACHINE LEARNING CLASSIFIERS DURING RUSSIAN AGGRESSION IN UKRAINE.

MR Baker, YN Taher, KH Jihad - Jordanian Journal of Computers …, 2023 - researchgate.net
Social media has become an excellent way to discover people's thoughts about various
topics and situations. In recent years, many studies have focused on social media during …

[PDF][PDF] Real-time twitter data analytics of mental illness in COVID-19: sentiment analysis using deep neural network

P Sugumaran, A Uma - Indonesian Journal of Electrical Engineering …, 2022 - academia.edu
The World Health Organization (WHO) states that the COVID-19 epidemic is being treated
as a pandemic, with thousands of individuals infected and dead worldwide. School and …

Detecting multiple coexisting emotions from public emergency opinions

Q Li, ZM Zeng, S Sun, T Li… - Journal of Information …, 2024 - journals.sagepub.com
To detect multiple coexisting emotions from public emergency opinions, this article proposes
a novel two-stage multiple coexisting emotion-detection model. First, the text semantic …

An efficient approach for sentiment analysis using data mining algorithms

M Kaur, K Joshi, H Singh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Last few years have delivered a huge boom in the field of research in Sentiment Analysis,
totally on incredibly subjective textual content kinds like films or products evaluations. This …

Public Sentiment Assessment of Coronavirus-Specific Tweets using a Transformer-based BERT Classifier

K Mahor, AK Manjhvar - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Worldwide, the (COVID-19) pandemic had also affected people's daily routines. In general
also during lockdown periods, people around the world use social media to express their …