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Leveraging Affective Bidirectional Transformers for Offensive Language Detection
[article]
2020
arXiv
pre-print
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In this work, we report our submission to the Offensive Language and hate-speech Detection shared task organized with the 4th Workshop on Open-Source Arabic Corpora and Processing Tools Arabic (OSACT4) ...
models (i.e., sentiment and emotion). ...
BERT-EMO Similar to BERT-SENTI, we use a BERT model trained on 8-class Arabic emotion identification from (Abdul-Mageed et al., 2020) to fine-tune on the offensive and hate speech tasks, respectively ...
arXiv:2006.01266v1
fatcat:2yolw2urt5fvfohnim24nqzvou
LAraBench: Benchmarking Arabic AI with Large Language Models
[article]
2024
arXiv
pre-print
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LAraBench addresses this gap for Arabic Natural Language Processing (NLP) and Speech Processing tasks, including sequence tagging and content classification across different domains. ...
Our findings provide valuable insights into the applicability of LLMs for Arabic NLP and speech processing tasks. ...
Based on these claims documents are collected using Google custom search API and filtered by computing claim-documents similarity (Baly et al., 2018b) . ...
arXiv:2305.14982v2
fatcat:i6qozsaxdrcr5pij4zbsoevrbe
Recent developments in information extraction approaches from Arabic tweets on social networking sites
2022
International Journal of Advanced and Applied Sciences
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The Arabic Language is mostly used in Middle Eastern and African countries and most users tweet on social media using the Arabic language, therefore Arabic text classification and sentiment analysis aimed ...
With the increasing use of social web applications, information extraction from the various platforms has gained importance for understanding the trending post and events predictions based on those sentiments ...
Tweets can have both optimistic and pessimistic emotions based on trending posts. ...
doi:10.21833/ijaas.2022.09.018
fatcat:km3ielkjhrhhfponkibmgkbko4
SignsWorld: Deeping into the Silence World and Hearing Its Signs (State of the Art)
2012
International Journal of Computer Science & Information Technology (IJCSIT)
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The overall goal of the SignsWorld project is to develop a vision-based technology for recognizing and translating continuous Arabic sign language ArSL. ...
Automatic speech processing systems are employed more and more often in real environments. ...
Also studying the speech and visually speech recognition techniques told us that there is no complete Arabic visually emotionally speech recognition system that includes the Arabic grammar models. ...
doi:10.5121/ijcsit.2012.4115
fatcat:xhyt2yy2gza5pozaind4xsqik4
Toxic language detection: a systematic review of Arabic datasets
[article]
2024
arXiv
pre-print
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, content, annotation process, and reusability. ...
The detection of toxic language in the Arabic language has emerged as an active area of research in recent years, and reviewing the existing datasets employed for training the developed solutions has become ...
, code-switching detection and emotion analysis. ...
arXiv:2312.07228v2
fatcat:ojyi32w77rhpbpqy6ylpvjv7iq
Understanding and Detecting Dangerous Speech in Social Media
[article]
2020
arXiv
pre-print
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Although several works have been performed on the related issue of detecting offensive and hateful language, dangerous speech has not previously been treated in any significant way. ...
Motivated by these observations, we report our efforts to build a labeled dataset for dangerous speech. We also exploit our dataset to develop highly effective models to detect dangerous content. ...
Acknowledgements We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC), the Social Sciences Research Council of Canada (SSHRC), and Compute Canada (www.computecanada.ca ...
arXiv:2005.06608v1
fatcat:a6pou2anbjhhtmqdmzzuq2ovhu
Automatic Detection, Indexing, and Retrieval of Multiple Attributes from Cross-Lingual Multimedia Data
[chapter]
2012
Multimedia Information Extraction
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Non-speech attributes include speech rate, vocal effort (e.g. shouting and whispering), which are indicative of the speaker's emotional state, especially when combined with adjacent keywords. ...
Sophisticated modern systems must efficiently process, index, and retrieve terabytes of multimedia data, determining what is relevant based on the user's query criteria and the system's domain specific ...
The supported cross-lingual search in the current Audio Hot Spotting prototype supports English, Spanish, Modern Standard Arabic, Iraqi Arabic, and Gulf States Arabic. ...
doi:10.1002/9781118219546.ch14
fatcat:iz2khooigrgszf5sbwvwqpj74i
An English -Arabic Real Time System (EARS)
2016
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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This necessitates standard references for Speech to Text (ST) , Text to Speech (TS) and Text to Text Translators (TTT). ...
This paper presents a modular system that translates Arabic to English and English to Arabic (AE-EA) via a real time interactive system. ...
Synthesizing emotions, impressions, and temper; gives more powerful value for TS. Emotions , extroversion, and passion could be expressed in speech but not text. ...
doi:10.24297/ijct.v15i7.1533
fatcat:qxp52k6lxjcirgoe4boqrdvtk4
Exploratory Arabic Offensive Language Dataset Analysis
[article]
2021
arXiv
pre-print
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The main goal of this paper is to guide researchers in Arabic offensive language in selecting appropriate datasets based on their content, and in creating new Arabic offensive language resources to support ...
This paper adding more insights towards resources and datasets used in Arabic offensive language research. ...
The results of punctuation analysis can be checked from Figures 112 and 113 . Omar, Mahmoud, and Abd El-Hafeez (2020) release the first multi-platform dataset for Arabic hate speech detection. ...
arXiv:2101.11434v1
fatcat:mjh6vbo2jvhn3ibbgzmspnwl4q
Systematic Literature Review of Dialectal Arabic: Identification and Detection
2021
IEEE Access
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Bobicev,
"Automatic detection of arabicized berber and arabic varieties,"
in Proceedings of the Third Workshop on NLP for Similar
Languages, Varieties and Dialects (VarDial3), 2016, pp. 63-72. ...
TABLE I SEARCH KEYWORDS Query Terms "Arabic dialects" & "Identification" or "Detection" "Colloquial Arabic" & "Identification" or "Detection" "Arabic vernaculars" & "Identification" or "Detection"
A. ...
Content may change prior to final publication. ...
doi:10.1109/access.2021.3059504
fatcat:d7dkxmdehzcq5d7fej7icyy6rq
Online Extremism Detection: A Systematic Literature Review with Emphasis on Datasets, Classification Techniques, Validation Methods and Tools
2021
IEEE Access
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Social media platforms are popular for expressing personal views, emotions and beliefs. ...
We investigated that deep learning based automated extremism detection techniques outperform other techniques. ...
Araque et.al [45] propose similarity-based and emotion-based detection of ISIS extremist content. The authors classified text as radical, nonradical, neutral. ...
doi:10.1109/access.2021.3068313
fatcat:56xuyhtuxvdsxf7s7s5i3jvvbe
Consensus-Based Ensemble Model for Arabic Cyberbullying Detection
2022
Computer systems science and engineering
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To this end, this study focuses on improving the efficacy of the existing cyberbullying detection models for Arabic content by designing and developing a Consensus-based Ensemble Cyberbullying Detection ...
However, such networks expose young people to cyberbullying and offensive content that puts their safety and emotional well-being at serious risk. ...
In this study, a consensus-based ensemble cyberbullying detection model is proposed for detecting Arabic cyberbullying and offensive speech. ...
doi:10.32604/csse.2022.020023
fatcat:xnqnyhnxd5ezfkv3bamhpftn7q
A Panoramic Survey of Natural Language Processing in the Arab World
[article]
2021
arXiv
pre-print
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Arabic, the primary language of the Arab world and the religious language of millions of non-Arab Muslims is somewhere in the middle of this continuum. ...
Natural language processing (NLP) is the sub-field of artificial intelligence (AI) focused on modeling natural languages to build applications such as speech recognition and synthesis, machine translation ...
Similar to how SA resources and models started maturing, a lot of work still needs to be done in emotion recognition. ...
arXiv:2011.12631v3
fatcat:cfycp2j6r5gu3a66zu27fo3vya
Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech
[article]
2022
arXiv
pre-print
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We manually annotate and publicly release the largest Arabic dataset for offensive, fine-grained hate speech, vulgar and violence content. ...
Furthermore, we benchmark the dataset for detecting offensiveness and hate speech using different transformer architectures and perform in-depth linguistic analysis. ...
or emotion detection. ...
arXiv:2201.06723v2
fatcat:wq67eygnwjfaxb4237q77inxgu
Emojis as anchors to detect Arabic offensive language and hate speech
2023
Natural Language Engineering
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We manually annotate and publicly release the largest Arabic dataset for offensive, fine-grained hate speech, vulgar, and violence content. ...
Furthermore, we benchmark the dataset for detecting offensiveness and hate speech using different transformer architectures and perform in-depth linguistic analysis. ...
or emotion detection. ...
doi:10.1017/s1351324923000402
fatcat:b5ztefce7ffjrojxxjic33gkh4
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