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 …
Feature based analysis of thermal images for emotion recognition
Thermal imaging has recently been investigated in automatic emotion identification to get an
insight into reliable information about human emotion. However, the methods employed to …
insight into reliable information about human emotion. However, the methods employed to …
A review of multimodal-based emotion recognition techniques for cyberbullying detection in online social media platforms
Cyberbullying is a serious issue in online social media platforms (OSMP), which requires
effective detection and intervention systems. Multimodal emotion recognition (MER) …
effective detection and intervention systems. Multimodal emotion recognition (MER) …
[HTML][HTML] PRDECT-ID: Indonesian product reviews dataset for emotions classification tasks
Recognizing emotions is vital in communication. Emotions convey additional meanings to
the communication process. Nowadays, people can communicate their emotions on many …
the communication process. Nowadays, people can communicate their emotions on many …
[HTML][HTML] Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposal
Images are capable of conveying emotions, but emotional experience is highly subjective.
Advances in artificial intelligence have enabled the generation of images based on …
Advances in artificial intelligence have enabled the generation of images based on …
Aspect-context level information extraction via transformer based interactive attention mechanism for sentiment classification
Aspect-context sentiment classification aims to classify the sentiments about an aspect that
corresponds to its context. Typically, machine learning models considers the aspect and …
corresponds to its context. Typically, machine learning models considers the aspect and …
DialogueINAB: an interaction neural network based on attitudes and behaviors of interlocutors for dialogue emotion recognition
Abstract Machines can be equipped with the capability of identifying human emotions
through conversation, thus enabling them to empathize with natural persons when they …
through conversation, thus enabling them to empathize with natural persons when they …
Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions
Recent advances in artificial intelligence combined with behavioral sciences have led to the
development of cutting-edge tools for recognizing human emotions based on text, video …
development of cutting-edge tools for recognizing human emotions based on text, video …
The Application of Affective Measures in Text-based Emotion Aware Recommender Systems
This paper presents an innovative approach to address the problems researchers face in
Emotion Aware Recommender Systems (EARS): the difficulty and cumbersome collecting …
Emotion Aware Recommender Systems (EARS): the difficulty and cumbersome collecting …