Association of “# covid19” versus “# chinesevirus” with anti-Asian sentiments on Twitter: March 9–23, 2020

Y Hswen, X Xu, A Hing, JB Hawkins… - … Journal of Public …, 2021 - ajph.aphapublications.org
Objectives. To examine the extent to which the phrases,“COVID-19” and “Chinese virus”
were associated with anti-Asian sentiments. Methods. Data were collected from Twitter's …

Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers

GA Ruz, PA Henríquez, A Mascareño - Future Generation Computer …, 2020 - Elsevier
Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

[PDF][PDF] Sentiment analysis using SVM: A systematic literature review

M Ahmad, S Aftab, MS Bashir… - International Journal of …, 2018 - pdfs.semanticscholar.org
The world has revolutionized and phased into a new era, an era which upholds the true
essence of technology and digitalization. As the market has evolved at a staggering scale, it …

Hate speech detection in the Indonesian language: A dataset and preliminary study

I Alfina, R Mulia, MI Fanany… - … conference on advanced …, 2017 - ieeexplore.ieee.org
The objective of our work is to detect hate speech in the Indonesian language. As far as we
know, the research on this subject is still very rare. The only research we found has created …

Feeling positive about reopening? New normal scenarios from COVID-19 US reopen sentiment analytics

J Samuel, MM Rahman, GGMN Ali, Y Samuel… - Ieee …, 2020 - ieeexplore.ieee.org
The Coronavirus pandemic has created complex challenges and adverse circumstances.
This research identifies public sentiment amidst problematic socioeconomic consequences …

[PDF][PDF] Sentiment analysis of tweets using svm

M Ahmad, S Aftab, I Ali - Int. J. Comput. Appl, 2017 - researchgate.net
Community's view and feedback have always proved to be the most essential and valuable
resource for companies and organizations. With social media being the emerging trend …

[PDF][PDF] Using Naïve Bayes algorithm in detection of hate tweets

KK Kiilu, G Okeyo, R Rimiru, K Ogada - International Journal of …, 2018 - academia.edu
Social Media has become a very powerful tool for information exchange as it allows users to
not only consume information but also share and discuss various aspects of their interest …

A dataset and BERT-based models for targeted sentiment analysis on Turkish texts

MM Mutlu, A Özgür - arXiv preprint arXiv:2205.04185, 2022 - arxiv.org
Targeted Sentiment Analysis aims to extract sentiment towards a particular target from a
given text. It is a field that is attracting attention due to the increasing accessibility of the …

A survey on computational politics

EU Haq, T Braud, YD Kwon, P Hui - IEEE Access, 2020 - ieeexplore.ieee.org
Computational Politics is the study of computational methods to analyze and moderate
users' behaviors related to political activities such as election campaign persuasion, political …

Beyond the use of a novel Ensemble based Random Forest-BERT Model (Ens-RF-BERT) for the Sentiment Analysis of the hashtag COVID19 tweets

B Jlifi, C Abidi, C Duvallet - Social Network Analysis and Mining, 2024 - Springer
The news of COVID-19 that has been circulating on social media has caused melancholy,
anxiety, and terror. One of these social networks is Twitter, that can be considered as a …