Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions-Reference-Cited by-同舟云学术

Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions

Published:2023-10 Issue:9 Volume:35 Page:101776
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Md Suhaimin Mohd Suhairi,Ahmad Hijazi Mohd Hanafi,Moung Ervin Gubin,Nohuddin Puteri Nor Ellyza,Chua Stephanie^ORCID,Coenen Frans

Funder

Ministry of Higher Education, Malaysia

Publisher

Elsevier BV

Subject

General Computer Science

Reference256 articles.

1. Out of sight, out of mind: The impact of lockdown measures on sentiment towards refugees;Abdul Reda;Journal of Information Technology & Politics,2023

2. Abid, A., Ameur, H., Mbarek, A., Rekik, A., Jamoussi, S., & Ben Hamadou, A. 2017. An extraction and unification methodology for social networks data: An application to public security. Paper presented at the ACM International Conference Proceeding Series.

3. Abusaqer, M., Benaoumeur Senouci, M., & Magel, K. 2023. Twitter User Sentiments Analysis: Health System Cyberattacks Case Study. Paper presented at the 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023.

4. Framing twitter public sentiment on Nigerian government COVID-19 palliatives distribution using machine learning;Adamu;Sustainability (Switzerland),2021

5. Prominent feature extraction for sentiment analysis;Agarwal,2016

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Themes and sentiments in conversations about food waste on Twitter: Proposal of a framework using neural topic modeling;Food Quality and Preference;2025-01

2. Research on emergency decision quality evaluation and optimization basing on public sentiment big data analysis;Computers & Industrial Engineering;2024-10

3. Annotated dataset for sentiment analysis and sarcasm detection: Bilingual code-mixed English-Malay social media data in the public security domain;Data in Brief;2024-08

4. Whistlerlib: a distributed computing library for exploratory data analysis on large social network datasets;Multimedia Tools and Applications;2024-07-18

5. Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction;Information Processing & Management;2024-07