Results 51 to 60 of about 1,082 (177)

Addressing Bias in Spoken Language Systems Used in the Development and Implementation of Automated Child Language‐Based Assessment

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract This article addresses bias in Spoken Language Systems (SLS) that involve both Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) and reports experiments to improve the performance of SLS for automated language and literacy‐related assessments with students who are under served in the U.S. educational system.
Alison L. Bailey, Alexander Johnson, Natarajan Balaji Shankar, Hariram Veeramani, Julie A. Washington, Abeer Alwan   +5 more
wiley   +1 more source

A Hybrid Deep Learning Approach for Multi-Class Cyberbullying Classification Using Multi-Modal Social Media Data

Applied Sciences
Cyberbullying 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
doaj   +1 more source

Right on cue? Category‐switching in online marketplaces

Strategic Management Journal, Volume 47, Issue 1, Page 73-106, January 2026.
Abstract Research Summary When and why do producers change the categorization of their offerings? Prior categorization research assumes that producers engage in ongoing efforts to proactively optimize their categorical positioning, but this assumption may not hold for many producers due to their limited attentional capacity.
Karl Taeuscher, Eric Yanfei Zhao, Michael Lounsbury   +2 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 Sciences
This 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

A New Polar Transform‐Based Network for Multi‐Lingual Handwritten Text Sentiment Analysis

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This work introduces a new problem of sentiment analysis using handwritten text images. Unlike existing methods, which focus on posted text for sentiment analysis, this work shows that handwriting can also be used for sentiment analysis. For achieving our goal, the proposed work introduces a new idea of exploring polar transformation.
Chandraiah T, Prajwal Kumar P, Basavanna M, Shivakumara Palaiahnakote, Daniel P. Lopresti, Maira Alamgir   +5 more
wiley   +1 more source

Detection of Biased Phrases in the Wiki Neutrality Corpus for Fairer Digital Content Management Using Artificial Intelligence

Big Data and Cognitive Computing
Detecting 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, Muhammad Ateeb Ather, Olga Kolesnikova, Grigori Sidorov   +3 more
doaj   +1 more source

Natural Language Processing for Aviation Safety: Predicting Injury Levels from Incident Reports in Australia

Modelling
This 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, Keith Joiner, Ugur Turhan, Graham Wild   +3 more
doaj   +1 more source

Evaluating sentiment analysis models: A comparative analysis of vaccination tweets during the COVID-19 phase leveraging DistilBERT for enhanced insights

MethodsX
This study investigates public sentiment toward COVID-19 vaccinations by analyzing Twitter data using advanced machine learning (ML) and natural language processing (NLP) techniques.
Renuka Agrawal, Mehuli Majumder, Ishita Yadav, Nandini Taneja, Safa Hamdare, Preeti Hemnani   +5 more
doaj   +1 more source

Large Language Models for Detecting Cyberattacks on Smart Grid Protective Relays

IEEE Open Access Journal of Power and Energy
This paper presents a large language model (LLM)–based framework that adapts and fine-tunes compact LLMs for detecting cyberattacks on transformer current differential relays (TCDRs), which can otherwise cause false tripping of critical power ...
Ahmad Mohammad Saber, Saeed Jafari, Zhengmao Ouyang, Paul Budnarain, Amr Youssef, Deepa Kundur   +5 more
doaj   +1 more source

DETECTING DEPRESSION IN TWEETS USING DISTILBERT

International Journal of Innovative Research in Computer Science & Technology, 2021
U. Yasaswini ., Y. Sasidhar ., P. Siva Sai ., P. Eswar ., V. Swathi .   +4 more
openaire   +1 more source