A survey of emotion recognition methods with emphasis on E-Learning environments
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
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 …
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 of state-of-the-art approaches for emotion recognition in text
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 …
Emotion detection from text and speech: a survey
Emotion recognition has emerged as an important research area which may reveal some
valuable input to a variety of purposes. People express their emotions directly or indirectly …
valuable input to a variety of purposes. People express their emotions directly or indirectly …
[PDF][PDF] Emotion detection on tv show transcripts with sequence-based convolutional neural networks
While there have been significant advances in detecting emotions from speech and image
recognition, emotion detection on text is still under-explored and remained as an active …
recognition, emotion detection on text is still under-explored and remained as an active …
Beyond sentiment analysis: A review of recent trends in text based sentiment analysis and emotion detection
LP Hung, S Alias - Journal of Advanced Computational Intelligence …, 2023 - jstage.jst.go.jp
Sentiment Analysis is probably one of the best-known area in text mining. However, in
recent years, as big data rose in popularity more areas of text classification are being …
recent years, as big data rose in popularity more areas of text classification are being …
Sharing emotion while spectating video game play: Exploring Twitch users' emotional change after the outbreak of the COVID-19 pandemic
SW Chae, SH Lee - Computers in human behavior, 2022 - Elsevier
This paper examines how the COVID-19 pandemic associates with Twitch users' emotion,
using natural language processing (NLP) as a method. Two comparable sets of text data …
using natural language processing (NLP) as a method. Two comparable sets of text data …
Vector based sentiment and emotion analysis from text: A survey
As a primary means of communication, texts are used to implicitly or explicitly reflect
emotions. Emotion or sentiment detection from text has emerged as an important and …
emotions. Emotion or sentiment detection from text has emerged as an important and …
[HTML][HTML] Nursing perspectives on the impacts of COVID-19: social media content analysis
Background: Nurses are at the forefront of the COVID-19 pandemic. During the pandemic,
nurses have faced an elevated risk of exposure and have experienced the hazards related …
nurses have faced an elevated risk of exposure and have experienced the hazards related …