A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …
humans, and understand their feelings and emotions. With the advent of the Internet, people …
Sentiment analysis: Comprehensive reviews, recent advances, and open challenges
Sentiment analysis (SA) aims to understand the attitudes and views of opinion holders with
computers. Previous studies have achieved significant breakthroughs and extensive …
computers. Previous studies have achieved significant breakthroughs and extensive …
A survey on aspect-based sentiment analysis: Tasks, methods, and challenges
As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …
Few-shot aspect category sentiment analysis via meta-learning
Existing aspect-based/category sentiment analysis methods have shown great success in
detecting sentiment polarity toward a given aspect in a sentence with supervised learning …
detecting sentiment polarity toward a given aspect in a sentence with supervised learning …
Survey on aspect detection for aspect-based sentiment analysis
MM Truşcǎ, F Frasincar - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis is an important tool to automatically understand the user-generated
content on the Web. The most fine-grained sentiment analysis is concerned with the …
content on the Web. The most fine-grained sentiment analysis is concerned with the …
A Review on Text-Based Emotion Detection--Techniques, Applications, Datasets, and Future Directions
Artificial Intelligence (AI) has been used for processing data to make decisions, interact with
humans, and understand their feelings and emotions. With the advent of the internet, people …
humans, and understand their feelings and emotions. With the advent of the internet, people …
Exploring aspect-based sentiment quadruple extraction with implicit aspects, opinions, and ChatGPT: a comprehensive survey
In contrast to earlier ABSA studies primarily concentrating on individual sentiment
components, recent research has ventured into more complex ABSA tasks encompassing …
components, recent research has ventured into more complex ABSA tasks encompassing …
Label-enhanced prototypical network with contrastive learning for multi-label few-shot aspect category detection
Multi-label aspect category detection allows a given review sentence to contain multiple
aspect categories, which is shown to be more practical in sentiment analysis and attracting …
aspect categories, which is shown to be more practical in sentiment analysis and attracting …
Dual class knowledge propagation network for multi-label few-shot intent detection
F Zhang, W Chen, F Ding, T Wang - … of the 61st Annual Meeting of …, 2023 - aclanthology.org
Multi-label intent detection aims to assign multiple labels to utterances and attracts
increasing attention as a practical task in task-oriented dialogue systems. As dialogue …
increasing attention as a practical task in task-oriented dialogue systems. As dialogue …
Revisiting aspect-sentiment-opinion triplet extraction: Detailed analyses towards a simple and effective span-based model
Aspect-based sentiment information extraction has attracted increasing attention in the
research community of natural language processing. Various methods, such as sequence …
research community of natural language processing. Various methods, such as sequence …