External-attention dual-modality fusion network for RGBT tracking
K Yan, J Mei, D Zhou, L Zhou - The Journal of Supercomputing, 2023 - Springer
Due to the unique complementarity of RGB and thermal (RGBT) images, RGBT tracking has
gradually become a crucial area of research. To achieve robust tracking performance, how …
gradually become a crucial area of research. To achieve robust tracking performance, how …
A Review on Text Sentiment Analysis With Machine Learning and Deep Learning Techniques
Automating sentiment analysis in texts has become an important task in recent years due to
the exponential growth of user-generated content, including comments and opinions on …
the exponential growth of user-generated content, including comments and opinions on …
A survey of sentiment analysis methods based on graph neural network
R Abedi Rad, MR Yamaghani… - International Journal of …, 2025 - Springer
Sentiment analysis is an active research field as one of the most popular tasks of natural
language processing, which aims to extract valuable information from various social …
language processing, which aims to extract valuable information from various social …
An interactive multi-head self-attention capsule network model for aspect sentiment classification
L She, H Gong, S Zhang - The Journal of Supercomputing, 2024 - Springer
The endpoint of aspect-level sentiment classification, a finely ground categorization task in
sentiment analysis, is to gauge the polarity for various aspects in context. However …
sentiment analysis, is to gauge the polarity for various aspects in context. However …
Aspect-Level Sentiment Classification Based on Auto-Adaptive Model Transfer
W Zheng, H **, Y Zhang, X Fu, X Tao - IEEE Access, 2023 - ieeexplore.ieee.org
Aspect-level sentiment classification (ASC) is a fine-grained sentiment analysis task that
involves detecting the sentiment polarity of a specific opinion target in a given sentence …
involves detecting the sentiment polarity of a specific opinion target in a given sentence …
Deep adversarial neural network model based on information fusion for music sentiment analysis
W Chen - Computer Science and Information Systems, 2023 - doiserbia.nb.rs
Natural language processing (NLP) is a computer-based technology used to process natural
language information in written and spoken form that is unique to human society. In the …
language information in written and spoken form that is unique to human society. In the …
O-Bert: Two-Stage Target-Based Sentiment Analysis
Target-based sentiment analysis (TBSA) is one of the most important NLP research topics
for widespread applications. However, the task is challenging, especially when the targets …
for widespread applications. However, the task is challenging, especially when the targets …
A multi-feature fusion approach based on domain adaptive pretraining for aspect-based sentiment analysis
Aspect-based sentiment analysis aims to recognize the sentiment polarities for opinion
words with the aid of some machine learning or deep learning-based sentiment …
words with the aid of some machine learning or deep learning-based sentiment …
Interactive memory networks based on syntactic dependencies for aspect-level sentiment classification
D Wu, C Zhu - The Journal of Supercomputing, 2025 - Springer
In recent years, sentiment analysis has emerged as a key area of research in natural
language processing, with particular emphasis on aspect-level sentiment classification. This …
language processing, with particular emphasis on aspect-level sentiment classification. This …
A survey of sentiment analysis methods based on graph neural network
RA Rad, MR Yamaghani, A Nourbakhsh - 2023 - researchsquare.com
Sentiment analysis is an active research field as one of the most popular tasks of natural
language processing, which aims to extract valuable information from various social …
language processing, which aims to extract valuable information from various social …