Results 171 to 180 of about 16,304 (224)

A simple interpolation-based data augmentation method for implicit sentiment identification. [PDF]

Sci Rep
Zhao Y, Mamat M, Aysa A, Ubul K.
europepmc   +1 more source

SemEval-2010 Task: Japanese WSD

SemEval-2010 Task: Japanese WSD
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Rethinking Emotion Annotations in the Era of Large Language Models. [PDF]

IEEE Trans Affect Comput
Niu M, El-Tawil Y, Romana A, Provost EM.
europepmc   +1 more source

A weighted difference loss approach for enhancing multi-label classification. [PDF]

Sci Rep
Hu Q, Azrifah Azmi Murad M, Azman AB, Nasharuddin NA.   +3 more
europepmc   +1 more source

DDML: Multi-Student Knowledge Distillation for Hate Speech. [PDF]

Entropy (Basel)
Liu Z, Shao Z, Wang H, Li B.
europepmc   +1 more source

Sentiment Analysis in Twitter: A SemEval Perspective [PDF]

, 2016
Preslav Nakov
openalex   +1 more source

Contrastive Learning Pre-Training and Quantum Theory for Cross-Lingual Aspect-Based Sentiment Analysis. [PDF]

Entropy (Basel)
Li X, Zhang K.
europepmc   +1 more source

Evaluation of emotion classification schemes in social media text: an annotation-based approach. [PDF]

BMC Psychol
Zhang F, Chen J, Tang Q, Tian Y.
europepmc   +1 more source

Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm. [PDF]

Diagnostics (Basel), 2023
Singh J, Singh N, Fouda MM, Saba L, Suri JS.   +4 more
europepmc   +1 more source

Sentiment analysis of tweets employing convolutional neural network optimized by enhanced gorilla troops optimization algorithm. [PDF]

Sci Rep
Li F, Li J, Abza F.
europepmc   +1 more source