Graph convolutional network with syntactic dependency for aspect-based sentiment analysis

F Zhang, W Zheng, Y Yang - International Journal of Computational …, 2024 - Springer
Aspect-based sentiment analysis (ABSA) aims to mine the sentiment tendencies expressed
by specific aspect terms. The studies of ABSA mainly focus on the attention-based …

Emotion and personality analysis and detection using natural language processing, advances, challenges and future scope

F Safari, A Chalechale - Artificial Intelligence Review, 2023 - Springer
Emotion detection from text is a relatively new sub-field of artificial intelligence closely
related to Sentiment Analysis (SA). SA detects positive, neutral, or negative emotions in text …

Emotion detection using convolutional neural network and long short-term memory: A deep multimodal framework

M Tahir, Z Halim, M Waqas, KN Sukhia, S Tu - Multimedia Tools and …, 2024 - Springer
Emotion detection systems play a crucial role in enhancing human-computer interaction.
Existing systems predominantly rely on machine learning techniques. This study introduces …

PowerPulse: Power energy chat model with LLaMA model fine‐tuned on Chinese and power sector domain knowledge

CL Yin, KP Du, Q Nong, HC Zhang, L Yang… - Expert …, 2024 - Wiley Online Library
Recently, large‐scale language models (LLMs) such as chat generative pre‐trained
transformer and generative pre‐trained transformer 4 have demonstrated remarkable …

[HTML][HTML] Evaluation of deep neural network architectures for authorship obfuscation of Portuguese texts

AMR Franco, Í Cunha, LB Oliveira - Natural Language Processing Journal, 2024 - Elsevier
Preserving authorship anonymity is paramount to protect activists, freedom of expression,
and critical journalism. Although there are several mechanisms to provide anonymity on the …

LMCK: pre-trained language models enhanced with contextual knowledge for Vietnamese natural language inference

NLT Nguyen, KTK Phan, TV Huynh… - Multimedia Tools and …, 2024 - Springer
Abstract Natural Language Inference (NLI) has gathered significant attention in recent years
due to its application. However, to apply to other downstream tasks, the NLI task should be …