Silp_nlp at SemEval-2023 Task 2: Cross-lingual Knowledge Transfer for Mono-lingual Learning [PDF]
, 2023 Sumit Kumar Singh, Uma Tiwary
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Exploring NLP‐Based Solutions to Social Media Moderation Challenges
Human Behavior and Emerging Technologies, Volume 2025, Issue 1, 2025.The rise of social media has revolutionized global communication, enabling users and businesses to connect, advertise, and monitor competitors. However, this expansion has also fueled toxic behaviors like hate speech and harassment, exposing innocent users to harmful content while overwhelming human moderators and impacting their well‐being. To address
Heba Saleous +3 more
wiley +1 more source
DH-FBK at SemEval-2022 Task 4: Leveraging Annotators’ Disagreement and Multiple Data Views for Patronizing Language Detection [PDF]
, 2022 Alan Ramponi, Elisa Leonardelli
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Cryptocurrency Trend Prediction Through Hybrid Deep Transfer Learning
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.The impact of sentiment analysis of comments on social networks such as X (Twitter) on the cryptocurrency market’s behavior has been proven. Also, traditional sentiment analysis and not considering the possible aspects of tweets can cause the deep model to be misleading in predicting the price trend of cryptocurrencies.
Kia Jahanbin +2 more
wiley +1 more source
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.In the last 10 years, there has been a rise in the number of Arabic texts, which necessitates a more profound understanding of algorithms to efficiently understand and classify Arabic texts in many applications, like sentiment analysis. This paper presents a comprehensive review of recent developments in Arabic text classification (ATC) and Arabic text
Abdullah Y. Muaad +7 more
wiley +1 more source
MarSan at SemEval-2023 Task 10: Can Adversarial Training with help of a Graph Convolutional Network Detect Explainable Sexism? [PDF]
, 2023 Ehsan Tavan, Maryam Najafi
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An AI based cross‐language aspect‐level sentiment analysis model using English corpus
Engineering Reports, Volume 6, Issue 12, December 2024.First, a multi‐channel XLNet (Multi‐XLNet) model is used to extract contextual information from the text. Then, in the RCNN module, the contextual features are output by the forward and reverse series GRU (BiGRU) to extract deeper emotional features. Finally, the multi‐head attention mechanism obtains text attention emotion representation.
Jing Chen, Li Pan
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MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement [PDF]
, 2023 Giulia Rizzi +4 more
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LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa [PDF]
, 2023 Rahul Mehta, Vasudeva Varma
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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers
Big Data Mining and Analytics, 2018 Relation classification is a crucial component in many Natural Language Processing (NLP) systems. In this paper, we propose a novel bidirectional recurrent neural network architecture (using Long Short-Term Memory, LSTM, cells) for relation ...
Runyan Zhang +3 more
doaj +1 more source