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 …
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 …
Sentiment analysis: Detecting valence, emotions, and other affectual states from text
Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …
some other affectual state of the author. This chapter summarizes the diverse landscape of …
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 …
Crowdsourcing a word–emotion association lexicon
Even though considerable attention has been given to the polarity of words (positive and
negative) and the creation of large polarity lexicons, research in emotion analysis has had to …
negative) and the creation of large polarity lexicons, research in emotion analysis has had to …
Using hashtags to capture fine emotion categories from tweets
Detecting emotions in microblogs and social media posts has applications for industry,
health, and security. Statistical, supervised automatic methods for emotion detection rely on …
health, and security. Statistical, supervised automatic methods for emotion detection rely on …
Sentiment, emotion, purpose, and style in electoral tweets
Social media is playing a growing role in elections world-wide. Thus, automatically
analyzing electoral tweets has applications in understanding how public sentiment is …
analyzing electoral tweets has applications in understanding how public sentiment is …
Automatic emotion detection in text streams by analyzing twitter data
Techniques to detect the emotions expressed in microblogs and social media posts have a
wide range of applications including, detecting psychological disorders such as anxiety or …
wide range of applications including, detecting psychological disorders such as anxiety or …
[PDF][PDF] # Emotional tweets
Detecting emotions in microblogs and social media posts has applications for industry,
health, and security. However, there exists no microblog corpus with instances labeled for …
health, and security. However, there exists no microblog corpus with instances labeled for …