A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Sentiment analysis for fake news detection
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …
information created with the intention of deception. The dissemination of this type of news …
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis
M Venugopalan, D Gupta - Knowledge-based systems, 2022 - Elsevier
Aspect level sentiment analysis is a fine-grained task in sentiment analysis. It extracts
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
Image synthesis with adversarial networks: A comprehensive survey and case studies
Abstract Generative Adversarial Networks (GANs) have been extremely successful in
various application domains such as computer vision, medicine, and natural language …
various application domains such as computer vision, medicine, and natural language …
Improving aspect-based sentiment analysis with Knowledge-aware Dependency Graph Network
H Wu, C Huang, S Deng - Information Fusion, 2023 - Elsevier
Aspect-based sentiment analysis (ABSA) aims to mine multiple sentiment–target pairs
contained in a review sentence. The main challenge of this task is how to extract the …
contained in a review sentence. The main challenge of this task is how to extract the …
Emotionally informed hate speech detection: a multi-target perspective
Hate Speech and harassment are widespread in online communication, due to users'
freedom and anonymity and the lack of regulation provided by social media platforms. Hate …
freedom and anonymity and the lack of regulation provided by social media platforms. Hate …
An early study on intelligent analysis of speech under COVID-19: Severity, sleep quality, fatigue, and anxiety
The COVID-19 outbreak was announced as a global pandemic by the World Health
Organisation in March 2020 and has affected a growing number of people in the past few …
Organisation in March 2020 and has affected a growing number of people in the past few …
Aspect-based sentiment analysis with attention-assisted graph and variational sentence representation
Aspect-based sentiment analysis (ABSA) is a fine-grained task that detects the sentiment
polarities of particular aspect words in a sentence. With the rise of graph convolution …
polarities of particular aspect words in a sentence. With the rise of graph convolution …
Conversational transfer learning for emotion recognition
Recognizing emotions in conversations is a challenging task due to the presence of
contextual dependencies governed by self-and inter-personal influences. Recent …
contextual dependencies governed by self-and inter-personal influences. Recent …
[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 …