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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 detection of textual data: An interdisciplinary survey
Emotion is a primary aspect of communication and can be expressed in many modalities.
Text-Based Emotion Detection (TBED), one of the fastest growing branches of Natural …
Text-Based Emotion Detection (TBED), one of the fastest growing branches of Natural …
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 …
A survey of cutting-edge multimodal sentiment analysis
The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …
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 …
Recognizing emotions in text using ensemble of classifiers
Emotions constitute a key factor in human nature and behavior. The most common way for
people to express their opinions, thoughts and communicate with each other is via written …
people to express their opinions, thoughts and communicate with each other is via written …
[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 …
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 …
Sentiment analysis: from opinion mining to human-agent interaction
The opinion mining and human-agent interaction communities are currently addressing
sentiment analysis from different perspectives that comprise, on the one hand, disparate …
sentiment analysis from different perspectives that comprise, on the one hand, disparate …
Emotional community detection in social networks
It is vastly acknowledged that analyzing social networks is a very challenging research area.
Take as a striking example the organization of vertices in clusters, with many edges joining …
Take as a striking example the organization of vertices in clusters, with many edges joining …