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 …
A survey of state-of-the-art approaches for emotion recognition in text
N Alswaidan, MEB Menai - Knowledge and Information Systems, 2020 - Springer
Emotion recognition in text is an important natural language processing (NLP) task whose
solution can benefit several applications in different fields, including data mining, e-learning …
solution can benefit several applications in different fields, including data mining, e-learning …
A BERT based dual-channel explainable text emotion recognition system
In this paper, a novel dual-channel system for multi-class text emotion recognition has been
proposed, and a novel technique to explain its training & predictions has been developed …
proposed, and a novel technique to explain its training & predictions has been developed …
[HTML][HTML] AI based emotion detection for textual big data: techniques and contribution
Online Social Media (OSM) like Facebook and Twitter has emerged as a powerful tool to
express via text people's opinions and feelings about the current surrounding events …
express via text people's opinions and feelings about the current surrounding events …
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 …
Emotion and personality analysis and detection using natural language processing, advances, challenges and future scope
F Safari, A Chalechale - Artificial Intelligence Review, 2023 - Springer
Emotion detection from text is a relatively new sub-field of artificial intelligence closely
related to Sentiment Analysis (SA). SA detects positive, neutral, or negative emotions in text …
related to Sentiment Analysis (SA). SA detects positive, neutral, or negative emotions in text …
Recognizing emotions from texts using a bert-based approach
The popularity of using pre-trained models results from the training ease and superior
accuracy achieved in relatively shorter periods. The paper analyses the efficacy of utilizing …
accuracy achieved in relatively shorter periods. The paper analyses the efficacy of utilizing …
Emotion detection from social media using machine learning techniques: a survey
V Ahire, S Borse - … Processing Systems: Proceedings of ICCET 2021, 2022 - Springer
The work carried out in this paper is to overview and compare various sentiment analysis
methodologies and approaches in detail and also discuss the limitations of existing work …
methodologies and approaches in detail and also discuss the limitations of existing work …
Biases, fairness, and implications of using ai in social media data mining
Online social media (OSM) has become an integral part of an individual's daily life. The
extensive computational power and decision-making ability of artificial intelligence (AI) and …
extensive computational power and decision-making ability of artificial intelligence (AI) and …