Results 61 to 70 of about 474,038 (293)

HyRoBERTa: Hybrid Robustly Optimized BERT Approach Model for Sentiment and Sarcasm Detection in Post-Flood Social Media Analysis

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
The detection problem is a crucial step in sentiment classification because it strengthens the validity and reliability of the model's interpretation of ambiguous text, especially in complex social contexts such as post-disaster public communication ...
Siti Yuliyanti, Aveny Septi Asriani, Vega Purwayoga, Zakwan Gusnadi   +3 more
doaj   +1 more source

Black Single Fathers: Choosing to Parent Full-Time [PDF]

, 2002
This ethnographic study uses the narratives of African American, single, full-time fathers to explore the motivations precipitating their choice to parent.
Coles, Roberta
core   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Analysis of the Influence of English Speaking Anxiety and Communicative Competence Based on a Neural Network Fusion Model

Journal of Applied Science and Engineering
English-speaking anxiety significantly impacts learners’ communication, and automated diagnosis is crucial. Existing multimodal approaches face limitations in deep feature extraction and modality fusion.
Sujun Zhou, Ruiwen Liu, Shenlei Shi, Dongyan Wang   +3 more
doaj   +1 more source

Father\u27s Day in Hollywood [PDF]

, 2015
It is Father\u27s Day in Hollywood, especially in the gorgeous Beverly Hills home of the glamorous actress, Roberta Duprez Conley Enfield Morgan Stienfeld Stable Golightly Montjoy, the former Mamie ...
White, Mary Jane
core   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Elderly Narrative Reflections on the Contradictions in Turkish Village Family Life after Migration of Adult Children [PDF]

, 2001
International and domestic labor migrations are changing the face of many countries. Those economic and demographic transitions collide with cultural expectations and ways of conducting intergenerational relations.
Coles, Roberta
core   +1 more source

The Sensitivity of Language Models and Humans to Winograd Schema Perturbations

, 2020
Large-scale pretrained language models are the major driving force behind recent improvements in performance on the Winograd Schema Challenge, a widely employed test of common sense reasoning ability. We show, however, with a new diagnostic dataset, that
Abdou, Mostafa, Barrett, Maria, Belinkov, Yonatan, Elliott, Desmond, Ravishankar, Vinit, Søgaard, Anders   +5 more
core   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Sentiment analysis of trending tweets using Spark NLP and deep learning: a benchmark study of CNN vs transformer models

Радіоелектронні і комп'ютерні системи
This study investigates the implementation of different sentiment analysis models, exploring their theoretical foundations, robust evaluation criteria, and significant findings, and integrating natural language processing methods to preprocess data ...
Chaimaa Benyamani, Hassan Badi, Imad Badi, Aziz Khamjane   +3 more
doaj   +1 more source