WordTransABSA: enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token prediction
In recent years, Aspect-based Sentiment Analysis (ABSA) has been a crucial yet challenging
task in recognizing textual emotions from text. ABSA has numerous application across …
task in recognizing textual emotions from text. ABSA has numerous application across …
A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends
Aspect-based Sentiment Analysis (ABSA) is a type of fine-grained sentiment analysis (SA)
that identifies aspects and the associated opinions from a given text. In the digital era, ABSA …
that identifies aspects and the associated opinions from a given text. In the digital era, ABSA …
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 …
Reducing spurious correlations in aspect-based sentiment analysis with explanation from large language models
Recently, aspect-based sentiment analysis (ABSA) models have yielded promising results.
However, they are susceptible to learning spurious correlations between certain words of …
However, they are susceptible to learning spurious correlations between certain words of …
Exploring the Natural Language Generation: Current Trends and Research Challenges
U Azhar, A Nazir - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Natural Language Generation (NLG) acts as a bridge between input data and human
communication. NLG systems are meant to generate human-understandable output making …
communication. NLG systems are meant to generate human-understandable output making …
Enhancing Machine Learning Algorithms using GPT Embeddings for Binary Classification
M Sathvik - Authorea Preprints, 2023 - techrxiv.org
The Language Model Models (LLMs) have demonstrated their ability to process and
understand natural language inputs accurately. This indicates that LLMs are capable of …
understand natural language inputs accurately. This indicates that LLMs are capable of …
A dual contrastive learning-based graph convolutional network with syntax label enhancement for aspect-based sentiment classification
Y Huang, A Dai, S Cao, Q Kuang, H Zhao, Q Cai - Frontiers in Physics, 2024 - frontiersin.org
Introduction: Aspect-based sentiment classification is a fine-grained sentiment classification
task. State-of-the-art approaches in this field leverage graph neural networks to integrate …
task. State-of-the-art approaches in this field leverage graph neural networks to integrate …
A Sentiment Analysis Method for Big Social Online Multimodal Comments Based on Pre-trained Models
J Wan, M Woźniak - Mobile Networks and Applications, 2024 - Springer
In addition to a large amount of text, there are also many emoticons in the comment data on
social media platforms. The multimodal nature of online comment data increases the …
social media platforms. The multimodal nature of online comment data increases the …
A Derivative Topic Propagation Model Based on Multidimensional Cognition and Game Theory
Q Li, L Gao, W Xi, T Li, R Wang, J Ge… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Given that emotional content spreads more widely than rational content in social networks,
as well as the complexity of user cognition and the interaction of derivative topics, this paper …
as well as the complexity of user cognition and the interaction of derivative topics, this paper …
Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction
Aspect-based sentiment analysis is a challenging yet critical task for recognizing emotions in
text, with various applications in social media, commodity reviews, and movie comments …
text, with various applications in social media, commodity reviews, and movie comments …