TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm
COVID-19, a novel virus from the coronavirus family, broke out in Wuhan city of China and
spread all over the world, killing more than 5.5 million people. The speed of spreading is still …
spread all over the world, killing more than 5.5 million people. The speed of spreading is still …
COVID-19 related sentiment analysis using state-of-the-art machine learning and deep learning techniques
The coronavirus disease 2019 (COVID-19) pandemic has influenced the everyday life of
people around the globe. In general and during lockdown phases, people worldwide use …
people around the globe. In general and during lockdown phases, people worldwide use …
Twitter sentiment analysis using hybrid gated attention recurrent network
Sentiment analysis is the most trending and ongoing research in the field of data mining.
Nowadays, several social media platforms are developed, among that twitter is a significant …
Nowadays, several social media platforms are developed, among that twitter is a significant …
A Deep Learning Modified Neural Network (DLMNN) based proficient sentiment analysis technique on Twitter data
D Paulraj, P Ezhumalai… - Journal of Experimental & …, 2024 - ui.adsabs.harvard.edu
The rapid enhancement in social media over the internet generates massive information in
real-time scenarios, which has a striking impact on big data analysis. It resulted in the …
real-time scenarios, which has a striking impact on big data analysis. It resulted in the …
Sentiment analysis of covid-19 tweets using evolutionary classification-based LSTM model
As the Covid-19 outbreaks rapidly all over the world day by day and also affects the lives of
million, a number of countries declared complete lockdown to check its intensity. During this …
million, a number of countries declared complete lockdown to check its intensity. During this …
Solving the twitter sentiment analysis problem based on a machine learning-based approach
F Zarisfi Kermani, F Sadeghi, E Eslami - Evolutionary Intelligence, 2020 - Springer
Abstract Twitter Sentiment Analysis (TSA) as part of a text classification task has been widely
attended by researchers in recent years. This paper presents a machine learning approach …
attended by researchers in recent years. This paper presents a machine learning approach …
A proposed sentiment analysis deep learning algorithm for analyzing COVID-19 tweets
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 …
country to make arrangements to control the population and utilize the available resources …
Twitter sentiment analysis using naive bayes-based machine learning technique
P Gaur, S Vashistha, P Jha - … Analysis and Deep Learning: Proceedings of …, 2023 - Springer
Abstract “Computational” sentiment analysis can determine whether a sentiment is
favorable, negative, or neutral. Another term for this approach is “opinion mining,” or …
favorable, negative, or neutral. Another term for this approach is “opinion mining,” or …
Twitter sentiment analysis using supervised machine learning
N Yadav, O Kudale, A Rao, S Gupta… - … technologies and internet …, 2021 - Springer
Sentiment analysis aims to extract opinions, attitudes, as well as emotions from social media
sites such as twitter. It has become a popular research area. The primary focus of the …
sites such as twitter. It has become a popular research area. The primary focus of the …
Sentiment analysis on twitter using neural network: Indonesian presidential election 2019 dataset
AF Hidayatullah, S Cahyaningtyas… - IOP conference series …, 2021 - iopscience.iop.org
Due to the utilization of Twitter by Indonesian politicians ahead of the Indonesian
presidential election 2019, Indonesian people have given diverse responses and …
presidential election 2019, Indonesian people have given diverse responses and …