Results 51 to 60 of about 5,471 (199)

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

Fine-Tuning LLMs for E-Commerce Sentiment Analysis: Proprietary Versus Open-Source Approaches

IEEE Access
The increasing volume of online product reviews presents both opportunities and challenges for e-commerce platforms seeking to leverage customer sentiment for strategic decision-making.
Pawanjit Singh Ghatora, Binh Thanh Dang, Huynh Thai Hoc, Shahbaz Pervez   +3 more
doaj   +1 more source

Retraining DistilBERT for a Voice Shopping Assistant by Using Universal Dependencies

CoRR, 2021
In this work, we retrained the distilled BERT language model for Walmart's voice shopping assistant on retail domain-specific data. We also injected universal syntactic dependencies to improve the performance of the model further. The Natural Language Understanding (NLU) components of the voice assistants available today are heavily dependent on ...
Pratik Jayarao, Arpit Sharma 0001
openaire   +2 more sources

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

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

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

A Deep Learning Approach to Classifying Software Requirements: The Application of Transformer-Based Ensemble Learning and Attention-Based Fusion

Foundations of Computing and Decision Sciences
The functional requirements (FRs) classification in software requirements classification (SRC) is a difficult task due to class imbalance, fine-grained subcategories, and semantic complexities. Existing Machine Learning (ML) and Deep Learning (DL) models
Kiani Azaz Ahmed
doaj   +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

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