Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
A survey on aspect base sentiment analysis methods and challenges
Sentiment analysis has spread to virtually every industry, including service, finance, e-
commerce, consumer goods, telecommunications, health care, political campaigns, social …
commerce, consumer goods, telecommunications, health care, political campaigns, social …
[HTML][HTML] Breaking down linguistic complexities: A structured approach to aspect-based sentiment analysis
Aspect-based sentiment analysis refers to the task of determining the sentiment polarity
associated with particular aspects mentioned in a sentence or document. Previous studies …
associated with particular aspects mentioned in a sentence or document. Previous studies …
CBMAFM: CNN-BiLSTM multi-attention fusion mechanism for sentiment classification
Sentiment classification, a crucial task in natural language processing, plays a significant
role in deciphering sentiment expressions within textual data. In previous work, the text …
role in deciphering sentiment expressions within textual data. In previous work, the text …
DPMS: Data-driven promotional management system of universities using deep learning on social media
SocialMedia Marketing (SMM) has become a mainstream promotional scheme. Almost
every business promotes itself through social media, and an educational institution is no …
every business promotes itself through social media, and an educational institution is no …
Enhancing smart contract security: Leveraging pre‐trained language models for advanced vulnerability detection
F He, F Li, P Liang - IET Blockchain, 2024 - Wiley Online Library
The burgeoning interest in decentralized applications (Dapps), spurred by advancements in
blockchain technology, underscores the critical role of smart contracts. However, many Dapp …
blockchain technology, underscores the critical role of smart contracts. However, many Dapp …
AGCL: Aspect Graph Construction and Learning for Aspect-level Sentiment Classification
Prior studies on Aspect-level Sentiment Classification (ALSC) emphasize modeling
interrelationships among aspects and contexts but overlook the crucial role of aspects …
interrelationships among aspects and contexts but overlook the crucial role of aspects …
A domain knowledge infused gated network using integrated sentiment prediction framework for aspect-based sentiment analysis
Abstract Aspect-Based Sentiment Analysis (ABSA) targets sentiments on specific aspects in
reviews, offering more granularity than overall sentiment analysis. Challenges in ABSA …
reviews, offering more granularity than overall sentiment analysis. Challenges in ABSA …
A Hybrid Semantics and Syntax-Based Graph Convolutional Network for Aspect-Level Sentiment Classification
C Huang, X Li, Y Du, Z Dong, D Huang… - Cognitive …, 2025 - Springer
Aspect-level sentiment classification seeks to ascertain the sentiment polarities of individual
aspects within a sentence. Most existing research in this field focuses on individually …
aspects within a sentence. Most existing research in this field focuses on individually …
Temporal patterns decomposition and Legendre projection for long-term time series forecasting
J Liu, T Ma, Y Su, H Rong, AAERM Khalil… - The Journal of …, 2024 - Springer
Long-term time series forecasting (LTSF) means utilizing historical data to forecast future
sequences that are relatively distant in time, providing support for long-term warnings …
sequences that are relatively distant in time, providing support for long-term warnings …