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[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models
In today's digital era, the rise of hate speech has emerged as a critical concern, driven by the
rapid information-sharing capabilities of social media platforms and online communities. As …
rapid information-sharing capabilities of social media platforms and online communities. As …
A survey on text classification: From traditional to deep learning
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …
processing. The last decade has seen a surge of research in this area due to the …
A survey of quantum-cognitively inspired sentiment analysis models
Quantum theory, originally proposed as a physical theory to describe the motions of
microscopic particles, has been applied to various non-physics domains involving human …
microscopic particles, has been applied to various non-physics domains involving human …
A multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations
Sarcasm, sentiment and emotion are tightly coupled with each other in that one helps the
understanding of another, which makes the joint recognition of sarcasm, sentiment and …
understanding of another, which makes the joint recognition of sarcasm, sentiment and …
A novel unsupervised ensemble framework using concept-based linguistic methods and machine learning for twitter sentiment analysis
Abstract Concept-based sentiment analysis (CBSA) methods have gained prominence in
natural language processing in recent years. These methods consider the underlying …
natural language processing in recent years. These methods consider the underlying …
A survey on text classification: From shallow to deep learning
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …
processing. The last decade has seen a surge of research in this area due to the …
CFN: A complex-valued fuzzy network for sarcasm detection in conversations
Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …
A gradient boosted decision tree-based sentiment classification of twitter data
People communicate their views, arguments and emotions about their everyday life on
social media (SM) platforms (eg Twitter and Facebook). Twitter stands as an international …
social media (SM) platforms (eg Twitter and Facebook). Twitter stands as an international …
Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis
Conversational sentiment analysis is an emerging, yet challenging subtask of the sentiment
analysis problem. It aims to discover the affective state and sentimental change in each …
analysis problem. It aims to discover the affective state and sentimental change in each …
Quantum self-attention neural networks for text classification
An emerging direction of quantum computing is to establish meaningful quantum
applications in various fields of artificial intelligence, including natural language processing …
applications in various fields of artificial intelligence, including natural language processing …