Abstract Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states
in texts. Various Deep Learning (DL) methods have developed rapidly, and they have …

The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …

This paper describes the results of the first Shared Task on Multilingual Emoji Prediction,
organized as part of SemEval 2018. Given the text of a tweet, the task consists of predicting …

Purpose Recently, Unicode has been standardized with the penetration of social networking
services, the use of emojis has become common. Emojis, as they are also known, are most …

Emojis are an essential tool for communication, and various resource-rich languages such
as English use emoji prediction systems. However, there is limited research on emoji …

Sarcasm is a form of figurative language that serves as a humorous tool for mockery and
ridicule. We present a novel architecture for sarcasm generation with emoji from a non …

In recent years, Unicode has been standardized; and with the penetration of SNSs, the use
of emojis has become common. Emojis, as they are also known, are most efective in …

Emoji are commonly used in social media to convey affects, emotions, and attitudes. While
popular in social media, their use in educational contexts has been sparsely studied even …

This paper presents algorithmic comparisons for producing a book's genre based on its title.
While some titles are easy to interpret, some are irrelevant to the genre that they belong to …

The emoticons are symbolic representations that generally accompany the textual content to
visually enhance or summarize the true intention of a written message. Although widely …