Results 51 to 60 of about 3,029,250 (288)
Graph-Based Semi-Supervised Deep Learning for Indonesian Aspect-Based Sentiment Analysis
Big Data and Cognitive Computing, 2022 Product reviews on the marketplace are interesting to research. Aspect-based sentiment analysis (ABSA) can be used to find in-depth information from a review. In one review, there can be several aspects with a polarity of sentiment. Previous research has
Ahmad Abdul Chamid +2 more
doaj +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction [PDF]
, 2021 Aspect-level sentiment classification (ALSC) aims at identifying the sentiment polarity of a specified aspect in a sentence. ALSC is a practical setting in aspect-based sentiment analysis due to no opinion term labeling needed, but it fails to interpret ...
Long, G +9 more
core +1 more source
Aspect-Level Sentiment Analysis Model Combining Double Graph Convolution and Gated Linear Unit [PDF]
Jisuanji gongchengThe aspect-level sentiment analysis aims to determine the sentiment polarity of a given aspect of a sentence. The existing graph neural network-based aspect-level sentiment analysis has two shortcomings: first, it ignores different types of syntactic ...
YANG Chunxia, WU Yalei, YAN Han, HUANG Yukun
doaj +1 more source
Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Aspect-Based Sentiment Analysis (ABSA) is a Natural Language Processing (NLP) task that extracts referred aspects from text and assigns polarities to opinions about those aspects. Most research on ABSA focuses on English.
Émerson Philippe Lopes +5 more
doaj +1 more source
FEBS Open Bio, EarlyView.Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page +4 more
wiley +1 more source
, 2022 As aspect-level sentiment labels are expensive and labor-intensive to acquire, zero-shot aspect-level sentiment classification is proposed to learn classifiers applicable to new domains without using any annotated aspect-level data. In contrast, document-
Zhao, Yanyan +3 more
core
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
IEEE Access, 2019 Aspect-level sentiment classification (ASC) is a research hotspot in natural language processing, which aims to infer the sentiment polarity of a particular aspect in an opinion sentence.
Ziyu Zhou, Fang'ai Liu, Qianqian Wang
doaj +1 more source
Discordance Between Patient and Physician Global Assessments in Early Systemic Sclerosis
Arthritis Care &Research, EarlyView.Objective This study aims to identify factors associated with patient global assessment (PtGA) and physician global assessment (PhGA) and discordance between them in systemic sclerosis (SSc). Methods Data from adults with early SSc (<5 years) from the Collaborative National Quality and Efficacy Registry were included.
Ellen Romich +35 more
wiley +1 more source