Results 41 to 50 of about 1,082 (177)

Self‐Admitted Technical Debt Detection Approaches: A Decade Systematic Review

Journal of Software: Evolution and Process, Volume 38, Issue 4, April 2026.
This systematic literature review traces the evolution of self‐admitted technical debt (SATD) detection from heuristic approaches to machine learning, deep learning, and Transformer‐based models. We synthesize the literature by categorizing detection techniques, levels of automation, and evaluation practices, and we identify persistent gaps in ...
Edi Sutoyo, Andrea Capiluppi
wiley   +1 more source

Efficient Management of Safety Documents Using Text-Based Analytics to Extract Safety Attributes From Construction Accident Reports

IEEE Access
The time-intensive extraction of insights from textual safety documents using conventional methods causes delays and inaccuracies, hindering proactive incident prevention in construction projects.
Vedat Togan, Fatemeh Mostofi, Onur Behzat Tokdemir, Fethi Kadioglu   +3 more
doaj   +1 more source

Comprehensive Flood Impact Assessment Using NLP and BERT Deep Learning for Improved Impact Prediction and Disaster Management

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Floods are increasing both in frequency and magnitude across different parts of the world. Although technological advances have improved flood forecasting, our understanding of how floods affect communities remains limited. This study develops a multi‐stage framework, integrating Natural Language Processing and the Bidirectional Encoder ...
Akshay Singhal, Mohammadsepehr Karimiziarani, Hamid Moradkhani   +2 more
wiley   +1 more source

MMLTC: A Novel Tolerance‐Based Clustering Framework for Multimodal Sentiment and Harmful Meme Classification in Multilingual Settings

Computational Intelligence, Volume 42, Issue 2, April 2026.
ABSTRACT This work introduces a novel Tolerance‐Based Clustering Framework (MMLTC) framework for affective analytics of multimodal/multilingual content in social media. A key feature of the MMLTC framework is its ability to overcome limitations of prior tolerance‐based classifiers through the construction of label specific pure tolerance classes ...
Jaher Hassan Chowdhury, Sheela Ramanna
wiley   +1 more source

Study on the Qualitative Cohesion in Bitcoin Market Price Prediction

IEEE Access
Over time, various methodologies have been introduced for predicting the cryptocurrency market. While numerous studies have explored different variables, research incorporating the actual sentiments of investors has been scarce.
Namjae Cho, Jae Hyun Byun, Giseob Yu
doaj   +1 more source

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

Detection and Classification of Ideological Texts in the Kazakh Language Using Machine Learning and Transformers

Research in Language
Modern 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, Shynar Mussiraliyeva, Kymbat Baisylbayeva   +2 more
doaj   +1 more source

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, Riccardo Ricciardi, Luigi Salmaso, Paola Zuccolotto   +3 more
wiley   +1 more source

Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Overview of the proposed scoping review framework for Explainable AI (XAI) in hate speech moderation. The diagram maps the end to end structure of the study, beginning with the socio technical problem framing and research questions, followed by PRISMA guided methodology, dataset and model evaluation criteria, and comparative analysis of XAI methods for
Muhammad Deedahwar Mazhar Qureshi, M. Atif Qureshi, Wael Rashwan   +2 more
wiley   +1 more source

A Comparative Analysis of Sentence Transformer Models for Automated Journal Recommendation Using PubMed Metadata

Big Data and Cognitive Computing
We 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, Marco Meleti, Stefano Guizzardi, Elena Calciolari, Carlo Galli   +4 more
doaj   +1 more source