Text‐based emotion detection: Advances, challenges, and opportunities
FA Acheampong, C Wenyu… - Engineering …, 2020 - Wiley Online Library
Emotion detection (ED) is a branch of sentiment analysis that deals with the extraction and
analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the …
analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the …
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …
humans, and understand their feelings and emotions. With the advent of the Internet, people …
Comparative analyses of bert, roberta, distilbert, and xlnet for text-based emotion recognition
Transformers' feat is attributed to its better language understanding abilities to achieve state-
of-the-art results in medicine, education, and other major NLP tasks. This paper analyzes the …
of-the-art results in medicine, education, and other major NLP tasks. This paper analyzes the …
[PDF][PDF] BERT-CNN: A Deep Learning Model for Detecting Emotions from Text.
Due to the widespread usage of social media in our recent daily lifestyles, sentiment
analysis becomes an important field in pattern recognition and Natural Language …
analysis becomes an important field in pattern recognition and Natural Language …
Alberto: Italian BERT language understanding model for NLP challenging tasks based on tweets
Recent scientific studies on natural language processing (NLP) report the outstanding
effectiveness observed in the use of context-dependent and task-free language …
effectiveness observed in the use of context-dependent and task-free language …
Exploring transformers in emotion recognition: a comparison of bert, distillbert, roberta, xlnet and electra
D Cortiz - arxiv preprint arxiv:2104.02041, 2021 - arxiv.org
This paper investigates how Natural Language Understanding (NLU) could be applied in
Emotion Recognition, a specific task in affective computing. We finetuned different …
Emotion Recognition, a specific task in affective computing. We finetuned different …
A Review on Text-Based Emotion Detection--Techniques, Applications, Datasets, and Future Directions
Artificial Intelligence (AI) has been used for processing data to make decisions, interact with
humans, and understand their feelings and emotions. With the advent of the internet, people …
humans, and understand their feelings and emotions. With the advent of the internet, people …
Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
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 …
A review on emotion detection by using deep learning techniques
Along with the growth of Internet with its numerous potential applications and diverse fields,
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …