Application of sentiment analysis as an innovative approach to policy making: A review

AA Firdaus, JS Saputro, M Anwar… - Journal of Robotics …, 2024 - journal.umy.ac.id
This literature review comprehensively explains the role of sentiment analysis as a
policymaking solution in companies, organizations, and individuals. The issue at hand is …

[HTML][HTML] Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction

PYW Myint, SL Lo, Y Zhang - Information Processing & Management, 2024 - Elsevier
In the age of rapid internet expansion, social media platforms like Twitter have become
crucial for sharing information, expressing emotions, and revealing intentions during crisis …

Themes and sentiments in conversations about food waste on Twitter: Proposal of a framework using neural topic modeling

MW Barbosa, A Gomes - Food Quality and Preference, 2025 - Elsevier
There is growing research interest in the role of social media in the food industry, and its
potential has yet to be fully exploited. This study extracted and analyzed data from Twitter …

Low-resource MobileBERT for emotion recognition in imbalanced text datasets mitigating challenges with limited resources

M Hussain, C Chen, SS Albouq, K Shinan, F Alanazi… - PloS one, 2025 - journals.plos.org
Modern dialogue systems rely on emotion recognition in conversation (ERC) as a core
element enabling empathetic and human-like interactions. However, the weak correlation …

Research on emergency decision quality evaluation and optimization basing on public sentiment big data analysis

L Zhang, X Wang, J Wang, G Liao - Computers & Industrial Engineering, 2024 - Elsevier
The increasingly frequent occurrence of emergencies has led to significant losses, both
human and economic. It is of the utmost importance to scientifically and effectively formulate …

[HTML][HTML] Annotated dataset for sentiment analysis and sarcasm detection: Bilingual code-mixed English-Malay social media data in the public security domain

MSM Suhaimin, MHA Hijazi, EG Moung - Data in Brief, 2024 - Elsevier
Sentiment analysis in the public security domain involves analysing public sentiment,
emotions, opinions, and attitudes toward events, phenomena, and crises. However, the …

[HTML][HTML] Punctuation and lexicon aid representation: A hybrid model for short text sentiment analysis on social media platform

Z Li, Z Zou - Journal of King Saud University-Computer and …, 2024 - Elsevier
Sentiment analysis measures user experience on social media. With the emergence of pre-
trained models, text classification tasks have become homogeneous, without a significant …

SECURING DEMOCRACY IN CYBERSPACE: VOTER DATA LEAKS IN INDONESIA'S 2024 ELECTION

IPH Pradnyana, RA Utama… - JURNAL TRIAS …, 2024 - journal.unrika.ac.id
This research examines the impact of voter data leaks on the essence of democracy,
focusing on participation, accountability, and transparency. Using a descriptive qualitative …

Whistlerlib: a distributed computing library for exploratory data analysis on large social network datasets

A Garcia-Robledo, A Espejel-Trujillo - Multimedia Tools and Applications, 2024 - Springer
At least 350k posts are published on X, 510k comments are posted on Facebook, and 66k
pictures and videos are shared on Instagram each minute. These large datasets require …

Exploring Individuals' Experiences with Security Attacks: A Text Mining and Qualitative Study

R Abumalloh, M Alrahhal, N El-Haggar… - Emerging Science …, 2024 - avesis.atauni.edu.tr
Cyber-attacks have become increasingly prevalent with the widespread integration of
technology into various aspects of our lives. The surge in social media platform usage has …