COVID-19 public tweets sentiment analysis using TF-IDF and inductive learning models

RK Bania - INFOCOMP Journal of Computer Science, 2020 - infocomp.dcc.ufla.br
The fact of appearing of the handheld devices offers forthright entree to the internet and
social networking sites. Sentiment analysis and opinion mining is the study of sentiments or …

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 …

Sentiment analysis of twitter data related to COVID-19

G Saha, S Roy, P Maji - Impact of AI and Data Science in Response to …, 2021 - Springer
Sentiment analysis is natural language processing technique which is used to evaluate the
emotions of subjective data. Machine learning along with natural language processing is …

Sentiment Analysis of Depression Illness during Covid-19 in Social Media: A Preliminary Study

NI Nazir, N Zainuddin, A Selamat - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Depression is now a common mental health condition that must be treated in people,
particularly adolescents. Although the issue of mental illness has received more attention in …

Twitter Sentiment Analysis using Ensemble Based Deep Learning Techniques for Analyzing COVID-19 Tweets

BV Kumar, KM Monica, S Prabhakar… - … Algorithms and Soft …, 2023 - ieeexplore.ieee.org
The COVID-19 is a transportable disease which is rapidly spread and numerous peoples
are endures and died from this disease. This paper proposed an ensemble based deep …

DT-FNN based effective hybrid classification scheme for twitter sentiment analysis

H Naz, S Ahuja, D Kumar, Rishu - Multimedia Tools and Applications, 2021 - Springer
Sentiment analysis refers to the interpretation and computational study of emotions, opinions
and appraisals within the text data using text analysis methods. A basic aim of sentiment …

An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study

MK Sohrabi, F Hemmatian - Multimedia tools and applications, 2019 - Springer
Along with the significant growth of social media, individuals and companies are
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …

Sentiment analysis on Twitter with Python's natural language toolkit and VADER sentiment analyzer

S Elbagir, J Yang - … on Engineering Sciences: Special Issue for the …, 2020 - World Scientific
Twitter data sentiment analysis has gained considerable attention as a research topic. The
ability to obtain information about a public opinion by analyzing Twitter data and …

TOM: Twitter opinion mining framework using hybrid classification scheme

FH Khan, S Bashir, U Qamar - Decision support systems, 2014 - Elsevier
Twitter has become one of the most popular micro-blogging platform recently. Millions of
users can share their thoughts and opinions about different aspects and events on the micro …