Sentiment analysis in e-commerce platforms: A review of current techniques and future directions
H Huang, AA Zavareh, MB Mustafa - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …
world application of natural language processing in recent times. Its main goal is to identify …
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
K Bu, Y Liu, X Ju - Knowledge-Based Systems, 2024 - Elsevier
Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
LEGO-ABSA: A prompt-based task assemblable unified generative framework for multi-task aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) has received increasing attention recently. ABSA
can be divided into multiple tasks according to the different extracted elements. Existing …
can be divided into multiple tasks according to the different extracted elements. Existing …
Instructabsa: Instruction learning for aspect based sentiment analysis
We introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment
Analysis (ABSA) subtasks. Our method introduces positive, negative, and neutral examples …
Analysis (ABSA) subtasks. Our method introduces positive, negative, and neutral examples …
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning
Abstract Multimodal Entity-Based Sentiment Analysis (MEBSA) is an emerging task within
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
Few-shot multimodal sentiment analysis based on multimodal probabilistic fusion prompts
Multimodal sentiment analysis has gained significant attention due to the proliferation of
multimodal content on social media. However, existing studies in this area rely heavily on …
multimodal content on social media. However, existing studies in this area rely heavily on …
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 …
Few-shot joint multimodal aspect-sentiment analysis based on generative multimodal prompt
We have witnessed the rapid proliferation of multimodal data on numerous social media
platforms. Conventional studies typically require massive labeled data to train models for …
platforms. Conventional studies typically require massive labeled data to train models for …
The importance of context for sentiment analysis in dialogues
Sentiment Analysis (SA) can be applied to dialogues to determine the emotional tone
throughout the conversation. This is beneficial for dialogue systems because it may improve …
throughout the conversation. This is beneficial for dialogue systems because it may improve …
MIFINN: A novel multi-information fusion and interaction neural network for aspect-based sentiment analysis
Abstract Aspect-based Sentiment Analysis (ABSA) is used to detect corresponding
sentiment polarities toward different aspect terms. In recent years, graph convolutional …
sentiment polarities toward different aspect terms. In recent years, graph convolutional …