Emojis have become a crucial part of text-based communication in recent years, especially
on social media and messaging services. As a result, emoji prediction has gained …

Tokenization and convolutional neural networks (CNNs) is being used for the task of mood
detection, emoji generation, and classification. Tokenization is helpful to break down text …

Sentiment analysis enables firms to monitor the public perception of the products and
services in real-time. Lexical sources are commonly used in the field of sentiment analysis …

This paper presents a deep neural architecture, for Natural Language Sentence Matching
(NLSM) by adding a deep recursive encoder to BERT so called BERT with Deep Recursive …

Emoji prediction aims to identify the appropriate emoji or set of emojis associated with the
text. With the help of a machine and deep learning, models can learn and comprehend rich …

As social networks grow more prominent, emojis become highly popular with a huge
number of users. The primary function of emojis is to fill in emotional cues that might …

Emojis are becoming increasingly prevalent in everyday online communication such as
messaging, email, and social networking. To enhance the user experience of expressing …

Along with the advent of social networks such as Twitter; Politicians, social media, and
ordinary citizens regularly turn to them to share their thoughts and feelings, such as political …

Tokenization and convolutional neural networks (CNNs) are being used for the task of mood
detection, emoji generation, and classification. Tokenization is helpful to break down text …

Sri Lanka is a country where the Sinhala and English languages take a prominent place, but
most people are not so fluent in the two languages when using digital platforms like social …