Suchergebnisse - "Offensive Language"

Towards Accurate Detection of Offensive Language in Online Communication in Arabic von Alakrot, Azalden, Murray, Liam, Nikolov, Nikola S.

“… We present the results of predictive modelling for the detection of anti-social behaviour in online communication in Arabic, such as comments which contain …”
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How well do hate speech, toxicity, abusive and offensive language classification models generalize across datasets? von Fortuna, Paula, Soler-Company, Juan, Wanner, Leo

“… A considerable body of research deals with the automatic identification of hate speech and related phenomena. However, cross-dataset model generalization …”
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Deep learning and natural language processing in computation for offensive language detection in online social networks by feature selection and ensemble classification techniques von Anand, M., Sahay, Kishan Bhushan, Ahmed, Mohammed Altaf, Sultan, Daniyar, Chandan, Radha Raman, Singh, Bharat

“… Offensive communications have made their way into social media posts. Using computational algorithms to distinguish objectionable content is one of the most …”
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Hate speech and offensive language detection in Dravidian languages using deep ensemble framework von Roy, Pradeep Kumar, Bhawal, Snehaan, Subalalitha, Chinnaudayar Navaneethakrishnan

“… Social networking platforms gained widespread popularity and are used for various activities like: promoting products, sharing news, achievements and many …”
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PerGOLD: Identification of offensive language in Persian tweets: leveraging crowdsourcing von Fatemeh Jafarinejad, Marziea Rahimi, Maryam Khodabakhsh, Seyedehfatemeh Karimi

“… It is concerning that the growing popularity of social networks is encouraging violence or inciting offense toward other people. An attempt has been made in …”
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A multilingual offensive language detection method based on transfer learning from transformer fine-tuning model von Fatima-zahra El-Alami, Said Ouatik El Alaoui, Noureddine En Nahnahi

“… Offensive communications have invaded social media content. One of the most effective solutions to cope with this problem is using computational techniques to …”
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Deep learning-based approaches for abusive content detection and classification for multi-class online user-generated data von Kaur, Simrat, Singh, Sarbjeet, Kaushal, Sakshi

“… •an abusive language detection model that perform multiclass classification of offensive language.•experimented with five deep learning models: Bi-LSTM, LSTM, …”
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Deep Learning-based Analysis of Algerian Dialect Dataset Targeted Hate Speech, Offensive Language and Cyberbullying von Mazari, Ahmed Cherif, Kheddar, Hamza

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Offensive language identification in dravidian languages using MPNet and CNN von Chakravarthi, Bharathi Raja, Jagadeeshan, Manoj Balaji, Palanikumar, Vasanth, Priyadharshini, Ruba

“… •A thorough review of the techniques, algorithms, datasets, and tasks for offensive language detection in Dravidian languages.•Novel MPNet and CNN fusion …”
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Exposing the Achilles’ heel of textual hate speech classifiers using indistinguishable adversarial examples von Aggarwal, Sajal, Vishwakarma, Dinesh Kumar

“… The accessibility of online hate speech has increased significantly, making it crucial for social-media companies to prioritize efforts to curb its spread …”
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DravidianCodeMix: sentiment analysis and offensive language identification dataset for Dravidian languages in code-mixed text von Chakravarthi, Bharathi Raja, Priyadharshini, Ruba, Muralidaran, Vigneshwaran, Jose, Navya, Suryawanshi, Shardul, Sherly, Elizabeth, McCrae, John P.

“… This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media …”
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Once Upon a Time in Hollywood: Analysis of dubbed and subtitled insults into European Spanish von Ávila-Cabrera, José Javier

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Homophone-aware offensive language detection via semantic-phonetic collaboration von Hu, Jiahao, Pan, Shanliang

“… •Proposes a lightweight dual-branch model for Chinese offensive language detection.•Integrates semantic and phonetic features through interactive …”
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Cyberbullying Detection: Hybrid Models Based on Machine Learning and Natural Language Processing Techniques von Raj, Chahat, Agarwal, Ayush, Bharathy, Gnana, Narayan, Bhuva, Prasad, Mukesh

“… The rise in web and social media interactions has resulted in the efortless proliferation of offensive language and hate speech. Such online harassment, …”
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Use of offensive language in human-artificial intelligence chatbot interaction: The effects of ethical ideology, social competence, and perceived humanlikeness von Park, Namkee, Jang, Kyungeun, Cho, Seonggyeol, Choi, Jinyoung

“… This study examined the factors that affect artificial intelligence (AI) chatbot users' use of profanity and offensive words, employing the concepts of ethical …”
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The dialects gap: A multi-task learning approach for enhancing hate speech detection in Arabic dialects von Abdelsamie, Mahmoud Mohamed, Azab, Shahira Shaaban, Hefny, Hesham A.

“… Hate speech is a complex and often debated concept within Arabic dialects. Handling and detecting hate speech in Arabic poses unique challenges due to the …”
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An inter-modal attention-based deep learning framework using unified modality for multimodal fake news, hate speech and offensive language detection von Ayetiran, Eniafe Festus, Özgöbek, Özlem

“… Fake news, hate speech and offensive language are related evil triplets currently affecting modern societies. Text modality for the computational detection of …”
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Integrating implicit and explicit linguistic phenomena via multi-task learning for offensive language detection von Plaza-del-Arco, Flor Miriam, Molina-González, M. Dolores, Ureña-López, L. Alfonso, Martín-Valdivia, María-Teresa

“… The analysis and detection of offensive content in textual information have become a great challenge for the Natural Language Processing community. Most of the …”
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Safeguarding Online Communications using DistilRoBERTa for Detection of Terrorism and Offensive Chats von Shah, Mohamed Safwan Saalik, Abuaieta, Amr Mohamed, Almazrouei, Shaima Saeed

“… People use social media for both good and distasteful purposes. When used with malicious intent, it raises significant concerns as it involves the use of …”
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Detecting Arabic Offensive Language in Microblogs Using Domain-Specific Word Embeddings and Deep Learning von O. Aljuhani, Khulood, H. Alyoubi, Khaled, S. Alotaibi, Fahd

“… In recent years, social media networks are emerging as a key player by providing platforms for opinions expression, communication, and content distribution …”
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