Emotion detection (ED) is a branch of sentiment analysis that deals with the extraction and
analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the …

Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …

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 …

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 …

Emotion detection is a widely studied topic in natural language processing due to its
significance in a number of application areas. A plethora of studies have been conducted on …

Emotion detection in text is a research field that gained an extensive interest recently. The
advancement in communication networks and the spread usage of social web is the reason …

Review can affect customer decision making because by reading it, people manage to know
whether the review is positive, or negative. However, positive, negative, and neutral, without …

Code-switched emotion detection, a task analyzing the emotion in code-switched texts, has
gain increasing research attention within recent years. Prior works utilize various neural …

Emotion Detection is the sentiment analysis process used to extract emotions from the text
that best represent the author's mental state. In recent years, the emotion detection domain …

Along with the growth of Internet with its numerous potential applications and diverse fields,
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …