Challenges and opportunities of text-based emotion detection: A survey
Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …
psychological, social, and commercial significance. People express their feelings directly or …
Emotion classification in a resource constrained language using transformer-based approach
Although research on emotion classification has significantly progressed in high-resource
languages, it is still infancy for resource-constrained languages like Bengali. However …
languages, it is still infancy for resource-constrained languages like Bengali. However …
Bengali sentiment analysis of e-commerce product reviews using k-nearest neighbors
The sentiment analysis of the Bengali language is converting into a trendy research topic
nowadays. Sentiment analysis is a useful technique in opinion mining, emotion extraction …
nowadays. Sentiment analysis is a useful technique in opinion mining, emotion extraction …
An attention-based mood controlling framework for social media users
In this digital age, social media is an essential part of life. People share their moments and
emotions through it. Consequently, detecting emotions in their behavior can be an effective …
emotions through it. Consequently, detecting emotions in their behavior can be an effective …
The study of the effect of preprocessing techniques for emotion detection on Amazon product review dataset
D Shukla, SK Dwivedi - Social Network Analysis and Mining, 2024 - Springer
Emotion detection (ED) from noisy or unstructured text data is a challenging and active area
of research in natural language processing as the text contains irrelevant information like …
of research in natural language processing as the text contains irrelevant information like …
[PDF][PDF] Emotion detection from text and sentiment analysis of Ukraine Russia war using machine learning technique
A Al Maruf, ZM Ziyad, MM Haque… - International Journal of …, 2022 - academia.edu
In the human body, emotion plays a critical function. Emotion is the most significant subject
in human-machine interaction. In economic contexts, emotion detection is equally essential …
in human-machine interaction. In economic contexts, emotion detection is equally essential …
Temox: Classification of textual emotion using ensemble of transformers
Textual emotion classification (TxtEC) refers to the classification of emotion expressed by
individuals in textual form. The widespread use of the Internet and numerous Web 2.0 …
individuals in textual form. The widespread use of the Internet and numerous Web 2.0 …
Sentiment analysis of bangla language using deep learning approaches
Emotion is the most important gear for human textual communication with each other via
social media. Nowadays, people use text for reviewing or recommending things, sharing …
social media. Nowadays, people use text for reviewing or recommending things, sharing …
Cyberbullying Text Identification based on Deep Learning and Transformer-based Language Models
K Saifullah, MI Khan, S Jamal… - … Transactions on Industrial …, 2024 - publications.eai.eu
In the contemporary digital age, social media platforms like Facebook, Twitter, and YouTube
serve as vital channels for individuals to express ideas and connect with others. Despite …
serve as vital channels for individuals to express ideas and connect with others. Despite …
[HTML][HTML] Exploring the association of metal mixture in blood to the kidney function and tumor necrosis factor alpha using machine learning methods
This research aimed to approach relationships between metal mixture in blood and kidney
function, tumor necrosis factor alpha (TNF-α) by machine learning. Metals levels were …
function, tumor necrosis factor alpha (TNF-α) by machine learning. Metals levels were …