Výsledky vyhledávání - LSTM and SVM NLP Machine learning Transformer SVM offensive language

Arabic Offensive Language Classification: Leveraging Transformer, LSTM, and SVM Autor Rasheed, Areeg Fahad, Zarkoosh, M., Abbas, Safa F., Sabah Al-Azzawi, Sana

“… Three distinct strategies were used: support vector machine (SVM), long short-term memory (LSTM…”
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RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models Autor Zain, Muhammad, Hussain, Nisar, Qasim, Amna, Mehak, Gull, Ahmad, Fiaz, Sidorov, Grigori, Gelbukh, Alexander

“… This work investigates machine learning (ML), deep learning (DL), and transformer-based methods for detecting offensive language in Roman Urdu comments collected from YouTube news channels…”
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NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers Autor Sharif, Omar, Hossain, Eftekhar, Hoque, Mohammed Moshiul

“… To accomplish the tasks, we employed two machine learning techniques (LR, SVM), three deep learning (LSTM, LSTM+Attention…”
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Detection of Inappropriate Language on Social Media Platforms Using Machine Learning Algorithms Autor Mishra, Shri Om, Ahmer, Mohd, Mittal, Nupur, Maurya, Akhilesh Kumar, Kumar Singh, Amit, Kumar, Ashawani

“… This paper explores the effectiveness of different machine learning techniques in detecting offensive language on social media, using real-world datasets…”
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