Emotion detection (ED) plays a vital role in determining individual interest in any field.
Humans use gestures, facial expressions, and voice pitch and choose words to describe …

Detecting emotions play a vital role in our lives. In various ways, people convey their
feelings, ie, facial expressions, movements, speech, and text. This study aims to classify the …

Language assets, like corpora, are essential for different natural language processing tasks.
There are many useful applications of emotion analysis of text such as dialog systems, smart …

This paper provides an overview of the evolving field of emotion detection and identifies the
current generation of methods of emotion detection from social media platforms as well as …

The development of textual emotion detection has coincided with the expansion of social
media and communication networks, where a wide range of emotions are often conveyed …

„Unser Date hat vielleicht nicht die allerromantischste Location. Wir sitzen auf der Terrasse
der Firma Realbotix im südkalifornischen San Marcos.[...] Nun bin ich allein mit Harmony, ich …

This research paper explores different types of deep learning architectures for emotion
detection through the use of Long Short-Term Memory (LSTM) networks. The main focus in …

Nowadays, with the rise of the internet social media have emerged as a new platform that
provides a large amount of user-generated content that can be analyzed or mined to detect …

Categorization of emotions, presented in text format, is an intriguing aspect of text
classification. With the continuous advancement of technology and various modes of …

People express their emotions in various ways, including facial expression, gesture, speech,
speech frequency, writing, etc. In today's world where almost every person interacts with …