Sentiment analysis from text consists of extracting information about opinions, sentiments,
and even emotions conveyed by writers towards topics of interest. It is often equated to …

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 …

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 …

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 …

Text often expresses the writer's emotional state or evokes emotions in the reader. The
nature of emotional phenomena like reading and writing can be interpreted in different ways …

Emotion detection from text is a relatively new classification task. This paper proposes a
novel unsupervised context-based approach to detecting emotion from text at the sentence …

Emotions play a key role in natural language understanding and sensemaking. Pure
machine learning usually fails to recognize and interpret emotions in text accurately. The …

Emotion recognition based on physiological data classification has been a topic of
increasingly growing interest for more than a decade. However, there is a lack of systematic …

In recent years, emotion detection in text has become more popular due to its vast potential
applications in marketing, political science, psychology, human-computer interaction …

Emotion detection can considerably enhance our understanding of users' emotional states.
Understanding users' emotions especially in a real-time setting can be pivotal in improving …