EEG based emotion recognition: A tutorial and review
Emotion recognition technology through analyzing the EEG signal is currently an essential
concept in Artificial Intelligence and holds great potential in emotional health care, human …
concept in Artificial Intelligence and holds great potential in emotional health care, human …
Recent advances in deep learning based dialogue systems: A systematic survey
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
Multimodal sentiment analysis: a survey of methods, trends, and challenges
Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
Comparing recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition
Multimodal signals are powerful for emotion recognition since they can represent emotions
comprehensively. In this article, we compare the recognition performance and robustness of …
comprehensively. In this article, we compare the recognition performance and robustness of …
Machine learning and deep learning for sentiment analysis across languages: A survey
EM Mercha, H Benbrahim - Neurocomputing, 2023 - Elsevier
The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …
resulted in the continuous and rapid generation of opinionated textual data. Several real …
Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …
with recent advances in AI, has led to an increase in explorations of how the field of machine …
Emotion and sentiment analysis from Twitter text
K Sailunaz, R Alhajj - Journal of computational science, 2019 - Elsevier
Online social networks have emerged as new platform that provide an arena for people to
share their views and perspectives on different issues and subjects with their friends, family …
share their views and perspectives on different issues and subjects with their friends, family …
A survey on empathetic dialogue systems
Dialogue systems have achieved growing success in many areas thanks to the rapid
advances of machine learning techniques. In the quest for generating more human-like …
advances of machine learning techniques. In the quest for generating more human-like …
Vaccine hesitancy on social media: Sentiment analysis from June 2011 to April 2019
H Piedrahita-Valdés, D Piedrahita-Castillo… - Vaccines, 2021 - mdpi.com
Vaccine hesitancy was one of the ten major threats to global health in 2019, according to the
World Health Organisation. Nowadays, social media has an important role in the spread of …
World Health Organisation. Nowadays, social media has an important role in the spread of …
Deep learning for affective computing: Text-based emotion recognition in decision support
Emotions widely affect human decision-making. This fact is taken into account by affective
computing with the goal of tailoring decision support to the emotional states of individuals …
computing with the goal of tailoring decision support to the emotional states of individuals …