Results 51 to 60 of about 1,103 (177)
Research in LanguageModern information technologies enable the automatic analysis of textual data to detect extremist and propagandistic content. This paper examines deep learning methods and transformers models for the automatic classification of ideologically charged ...
Milana Bolatbek +2 more
doaj +1 more source
DETECTING DEPRESSION IN TWEETS USING DISTILBERT
International Journal of Innovative Research in Computer Science & Technology, 2021 U. Yasaswini . +4 more
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Visual Moral Inference and Communication
Topics in Cognitive Science, Volume 18, Issue 2, April 2026.Abstract Humans can make moral inferences from multiple sources of input. In contrast, computational moral inference in artificial intelligence typically relies on language models with textual input. However, morality is conveyed through modalities beyond language.
Warren Zhu, Aida Ramezani, Yang Xu
wiley +1 more source
Applied SciencesCyberbullying involves the use of social media platforms to harm or humiliate people online. Victims may resort to self-harm due to the abuse they experience on these platforms, where users can remain anonymous and spread malicious content.
Israt Tabassum, Vimala Nunavath
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How Well Do Ratings Reflect Sentiment? Evidence From a Large Italian Review Corpus
Applied Stochastic Models in Business and Industry, Volume 42, Issue 2, March/April 2026.ABSTRACT Understanding whether numerical ratings reliably reflect the sentiment expressed in user‐generated product reviews is critical for accurate interpretation of online feedback. Although star ratings provide immediate, quantifiable signals to consumers and businesses, they may not fully convey the nuanced sentiment contained in text.
Nicolò Biasetton +3 more
wiley +1 more source
LLM-as-a-judge for sarcasm detection using supervised fine-tuning of transformers
Journal of King Saud University: Computer and Information SciencesThis research conducts a systematic comparative study of large pre-trained language models (LLMs) for sarcasm and irony detection. While pretrained transformers often struggle to capture sarcastic intent, we fine-tune multiple domain-specific models and ...
Simona-Vasilica Oprea, Adela Bâra
doaj +1 more source
Big Data and Cognitive ComputingWe present an automated journal recommendation pipeline designed to evaluate the performance of five Sentence Transformer models—all-mpnet-base-v2 (Mpnet), all-MiniLM-L6-v2 (Minilm-l6), all-MiniLM-L12-v2 (Minilm-l12), multi-qa-distilbert-cos-v1 (Multi-qa-
Maria Teresa Colangelo +4 more
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Big Data and Cognitive ComputingDetecting biased language in large-scale corpora, such as the Wiki Neutrality Corpus, is essential for promoting neutrality in digital content. This study systematically evaluates a range of machine learning (ML) and deep learning (DL) models for the ...
Abdullah +3 more
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Sentiment Analysis Of Shopee Product Reviews Using Distilbert
CoRRThe rapid growth of digital commerce has led to the accumulation of a massive number of consumer reviews on online platforms. Shopee, as one of the largest e-commerce platforms in Southeast Asia, receives millions of product reviews every day containing valuable information regarding customer satisfaction and preferences.
Dautd, Zahri Aksa, Rahman, Aviv Yuniar
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ModellingThis study investigates the application of advanced deep learning models for the classification of aviation safety incidents, focusing on four models: Simple Recurrent Neural Network (sRNN), Gated Recurrent Unit (GRU), Bidirectional Long Short-Term ...
Aziida Nanyonga +3 more
doaj +1 more source