On the public citation graph

Multi-Channel Embedding Convolutional Neural Network Model for Arabic Sentiment Classification

https://doi.org/10.1145/3314941
0 signed · 58 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-031-02139-8openalex-snapshot
Introduction to Arabic Natural Language Processing
inferredcites →https://doi.org/10.1007/978-3-319-18111-0_32openalex-snapshot
Word Representations in Vector Space and their Applications for Arabic
inferredcites →https://doi.org/10.1007/978-3-319-18117-2_2openalex-snapshot
Building Large Arabic Multi-domain Resources for Sentiment Analysis
inferredcites →https://doi.org/10.1007/978-3-319-60042-0_66openalex-snapshot
Arabic Tweets Sentimental Analysis Using Machine Learning
inferredcites →https://doi.org/10.1007/978-3-319-70096-0_51openalex-snapshot
Hybrid Deep Learning for Sentiment Polarity Determination of Arabic Microblogs
inferredcites →https://doi.org/10.1016/j.jksuci.2014.06.009openalex-snapshot
arTenTen: Arabic Corpus and Word Sketches
inferredcites →https://doi.org/10.1016/j.jocs.2017.11.006openalex-snapshot
Deep Recurrent neural network vs. support vector machine for aspect-based sentiment analysis of Arabic hotels’ reviews
inferredcites →https://doi.org/10.1016/j.langsci.2013.06.002openalex-snapshot
Pattern-and-root inflectional morphology: the Arabic broken plural
inferredcites →https://doi.org/10.1016/j.procs.2017.05.365openalex-snapshot
Using Word Embedding and Ensemble Learning for Highly Imbalanced Data Sentiment Analysis in Short Arabic Text
inferredcites →https://doi.org/10.1016/j.procs.2017.10.117openalex-snapshot
AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP
inferredcites →https://doi.org/10.1109/aeect.2013.6716448openalex-snapshot
Arabic sentiment analysis: Lexicon-based and corpus-based
inferredcites →https://doi.org/10.1109/asar.2017.8067771openalex-snapshot
Arabic language sentiment analysis on health services
inferredcites →https://doi.org/10.1109/bigdata.2016.7841054openalex-snapshot
Word embeddings for Arabic sentiment analysis
inferredcites →https://doi.org/10.1109/csit.2016.7549458openalex-snapshot
Evaluating SentiStrength for Arabic Sentiment Analysis
inferredcites →https://doi.org/10.1109/iccsit14462.2008openalex-snapshot
2008 International Conference on Computer Science and Information Technology
inferredcites →https://doi.org/10.1109/synasc.2015.75openalex-snapshot
Unsupervised Aspect Level Sentiment Analysis Using Self-Organizing Maps
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/1988688.1988703openalex-snapshot
ELS
inferredcites →https://doi.org/10.1145/3086575openalex-snapshot
AROMA
inferredcites →https://doi.org/10.1145/3086576openalex-snapshot
A Sentiment Treebank and Morphologically Enriched Recursive Deep Models for Effective Sentiment Analysis in Arabic
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.13140/2.1.3960.5761openalex-snapshot
LABR: A Large Scale Arabic Book Reviews Dataset
inferredcites →https://doi.org/10.1613/jair.4787openalex-snapshot
How Translation Alters Sentiment
inferredcites →https://doi.org/10.18653/v1/d15-1299openalex-snapshot
ASTD: Arabic Sentiment Tweets Dataset
inferredcites →https://doi.org/10.18653/v1/p17-2072openalex-snapshot
Methodical Evaluation of Arabic Word Embeddings
inferredcites →https://doi.org/10.18653/v1/s17-2133openalex-snapshot
NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/w15-3202openalex-snapshot
Deep Learning Models for Sentiment Analysis in Arabic
inferredcites →https://doi.org/10.2200/s00277ed1v01y201008hlt010openalex-snapshot
Introduction to Arabic Natural Language Processing
inferredcites →https://doi.org/10.24963/ijcai.2017/406openalex-snapshot
Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification
inferredcites →https://doi.org/10.3115/1219840.1219855openalex-snapshot
Seeing stars
inferredcites →https://doi.org/10.3115/981574openalex-snapshot
Proceedings of the 31st annual meeting on Association for Computational Linguistics -
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.48550/arxiv.1207.0580openalex-snapshot
Improving neural networks by preventing co-adaptation of feature detectors
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s00521-021-06747-4openalex-snapshot
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
inferred← citeshttps://doi.org/10.1007/s10579-024-09741-zopenalex-snapshot
Improving Arabic sentiment analysis across context-aware attention deep model based on natural language processing
inferred← citeshttps://doi.org/10.1007/s41870-025-02923-0openalex-snapshot
S2BA-AraELECTRA: a stacked BiLSTM-BiGRU with attention mechanism and contextual embeddings from AraELECTRA for enhanced Arabic sentiment classification in business intelligence
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106836openalex-snapshot
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
inferred← citeshttps://doi.org/10.1016/j.csl.2021.101240openalex-snapshot
Multi-level embeddings for processing Arabic social media contents
inferred← citeshttps://doi.org/10.1016/j.nlp.2024.100100openalex-snapshot
A combined AraBERT and Voting Ensemble classifier model for Arabic sentiment analysis
inferred← citeshttps://doi.org/10.1109/access.2021.3094173openalex-snapshot
ArabicDialects: An Efficient Framework for Arabic Dialects Opinion Mining on Twitter Using Optimized Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2024.3398635openalex-snapshot
Sentiment Analysis in Low-Resource Settings: A Comprehensive Review of Approaches, Languages, and Data Sources
inferred← citeshttps://doi.org/10.1109/access.2025.3556976openalex-snapshot
Selective Reading for Arabic Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/compsac54236.2022.00196openalex-snapshot
A Comparative Study of Pre-trained Word Embeddings for Arabic Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/esmarta52612.2021.9515751openalex-snapshot
Deep Attentional Bidirectional LSTM for Arabic Sentiment Analysis In Twitter
inferred← citeshttps://doi.org/10.1109/icodsa67155.2025.11157306openalex-snapshot
Multi-channel Embedding LSTM for Sentiment Classification in Twitter Dataset
inferred← citeshttps://doi.org/10.1109/isivc61350.2024.10577911openalex-snapshot
Deep Reinforcement Learning-Based Early Prediction for Arabic Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/niss55057.2022.10085147openalex-snapshot
Arabic Sentiment Analysis based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3366083openalex-snapshot
Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3578265openalex-snapshot
Attention Mechanism Architecture for Arabic Sentiment Analysis
inferred← citeshttps://doi.org/10.1145/3639233.3639241openalex-snapshot
Arabic Sentiment Analysis with Noisy Deep Explainable Model
inferred← citeshttps://doi.org/10.18280/ria.360201openalex-snapshot
Design and Implementation of a Multichannel Convolutional Neural Network for Hate Speech Detection in Social Networks
inferred← citeshttps://doi.org/10.3233/ida-205408openalex-snapshot
Sentiment classification based on weak tagging information and imbalanced data
inferred← citeshttps://doi.org/10.32604/cmc.2021.019047openalex-snapshot
Swarming Behavior of Harris Hawks Optimizer for Arabic Opinion Mining
inferred← citeshttps://doi.org/10.48084/etasr.5662openalex-snapshot
Arabic Sentiment Analysis for Twitter Data: A Systematic Literature Review
inferred← citeshttps://doi.org/10.48550/arxiv.2003.00104openalex-snapshot
AraBERT: Transformer-based Model for Arabic Language Understanding
inferred← citeshttps://doi.org/10.48550/arxiv.2102.10684openalex-snapshot
Pre-Training BERT on Arabic Tweets: Practical Considerations
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.