On the public citation graph

Leveraging Social Media and Deep Learning for Sentiment Analysis for Smart Governance: A Case Study of Public Reactions to Educational Reforms in Saudi Arabia

https://doi.org/10.3390/computers13110280

0 signed · 37 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-43887-6_64openalex-snapshot

Pre-trained Language Model for Biomedical Question Answering

inferredcites →https://doi.org/10.1007/978-981-15-4825-3_12openalex-snapshot

Improving Sentiment Analysis of Arabic Tweets

inferredcites →https://doi.org/10.1007/s00530-020-00742-wopenalex-snapshot

Detection of hate speech in Arabic tweets using deep learning

inferredcites →https://doi.org/10.1007/s13278-022-00946-0openalex-snapshot

Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

inferredcites →https://doi.org/10.1016/j.asej.2024.102736openalex-snapshot

Arabic sarcasm detection: An enhanced fine-tuned language model approach

inferredcites →https://doi.org/10.1016/j.chb.2018.08.039openalex-snapshot

Social media big data analytics: A survey

inferredcites →https://doi.org/10.1016/j.eij.2019.03.002openalex-snapshot

HILATSA: A hybrid Incremental learning approach for Arabic tweets sentiment analysis

inferredcites →https://doi.org/10.1016/j.procs.2017.10.094openalex-snapshot

AraSenTi-Tweet: A Corpus for Arabic Sentiment Analysis of Saudi Tweets

inferredcites →https://doi.org/10.1109/access.2021.3127140openalex-snapshot

Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review

inferredcites →https://doi.org/10.1109/asar.2017.8067771openalex-snapshot

Arabic language sentiment analysis on health services

inferredcites →https://doi.org/10.1109/iccceee.2018.8515862openalex-snapshot

Sentiment Analysis for Arabic Dialect Using Supervised Learning

inferredcites →https://doi.org/10.1109/ictcs.2017.25openalex-snapshot

Building Arabic Polarizerd Lexicon from Rated Online Customer Reviews

inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9533884openalex-snapshot

BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition

inferredcites →https://doi.org/10.1109/iscsic.2017.34openalex-snapshot

Why Move toward the Smart Government

inferredcites →https://doi.org/10.1109/senset.2017.8125054openalex-snapshot

Sentiment analysis: Arabic sentiment lexicons

inferredcites →https://doi.org/10.14569/ijacsa.2022.01305109openalex-snapshot

BERT-based Approach to Arabic Hate Speech and Offensive Language Detection in Twitter: Exploiting Emojis and Sentiment Analysis

inferredcites →https://doi.org/10.14569/ijacsa.2022.0130865openalex-snapshot

An Ensemble of Arabic Transformer-based Models for Arabic Sentiment Analysis

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.747openalex-snapshot

Unsupervised Cross-lingual Representation Learning at Scale

inferredcites →https://doi.org/10.22214/ijraset.2021.39404openalex-snapshot

An Enhanced Approach for Sentiment Analysis Using Association Rule Mining

inferredcites →https://doi.org/10.3233/ip-170067openalex-snapshot

Smart governance in the context of smart cities: A literature review

inferredcites →https://doi.org/10.33436/v32i4y202201openalex-snapshot

Evaluating sentiment analysis for Arabic Tweets using machine learning and deep learning

inferredcites →https://doi.org/10.3390/app112210694openalex-snapshot

Fine-Grained Sentiment Analysis of Arabic COVID-19 Tweets Using BERT-Based Transformers and Dynamically Weighted Loss Function

inferredcites →https://doi.org/10.3390/app12115720openalex-snapshot

BERT Models for Arabic Text Classification: A Systematic Review

inferredcites →https://doi.org/10.3390/app131810305openalex-snapshot

Text Classification of Patient Experience Comments in Saudi Dialect Using Deep Learning Techniques

inferredcites →https://doi.org/10.3390/computers12060126openalex-snapshot

Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning

inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1109/access.2025.3541154openalex-snapshot

Weakly Supervised Deep Learning for Arabic Tweet Sentiment Analysis on Education Reforms: Leveraging Pre-Trained Models and LLMs With Snorkel

inferred← citeshttps://doi.org/10.1109/aisummit66170.2025.11411626openalex-snapshot

Cross-domain Sentimental Analysis in Healthcare using Explainable AI

inferred← citeshttps://doi.org/10.1109/icmisi65108.2025.11115695openalex-snapshot

Boosting Arabic Emotion Detection: Transformer Ensembles with Soft Voting

inferred← citeshttps://doi.org/10.1109/icmnwc66779.2025.11354196openalex-snapshot

Sentiment Analysis of Pension Reform Tweets: Evaluating Machine Learning Models and Preprocessing Strategies

inferred← citeshttps://doi.org/10.1177/14727978251337951openalex-snapshot

Research on the application of augmented reality in English vocabulary teaching: A study on improving learning outcomes through interactive experience

inferred← citeshttps://doi.org/10.3390/bdcc10020049openalex-snapshot

SiAraSent: From Features to Deep Transformers for Large-Scale Arabic Sentiment Analysis

inferred← citeshttps://doi.org/10.3390/computers13110292openalex-snapshot

LLaMA 3 vs. State-of-the-Art Large Language Models: Performance in Detecting Nuanced Fake News

inferred← citeshttps://doi.org/10.3390/computers14050167openalex-snapshot

From Transformers to Voting Ensembles for Interpretable Sentiment Classification: A Comprehensive Comparison

inferred← citeshttps://doi.org/10.36040/jati.v9i5.14963openalex-snapshot

TINJAUAN SISTEMATIS LITERATUR: ANALISIS SENTIMEN TERHADAP PERSEPSI PUBLIK TENTANG KECERDASAN BUATAN DI MEDIA SOSIAL

inferred← citeshttps://doi.org/10.4018/979-8-3373-4962-6.ch008openalex-snapshot

Privacy, Security, and Ethical Challenges in AI and IoT Social Sensing Systems

inferred← citeshttps://doi.org/10.59743/jaf.v10i1.960openalex-snapshot

Data Augmentation Techniques for Arabic Short Text Processing

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.