In this study, we aim to predict the most likely emoji given only a short text as an input. We
extract a Hebrew political dataset of user comments for emoji prediction. Then, we …

In this study, we aim to classify comments as abusive or non-abusive. We develop a Hebrew
corpus of user comments annotated for abusive language. Then, we investigate highly …

Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic
the action of the brain, to improve a student's grammar learning process. Finding the subject …

Social posts and their comments are rich and interesting social data. In this study, we aim to
classify comments as relevant or irrelevant to the content of their posts. Since the comments …

The article deals with the question of the link between readability and engagement rates on
social media. On one hand, easy-to-read texts can be useful to attract and involve broader …

This document discusses the potential role of Machine Learning (ML) methods in social
science research, in general, and specifically in studies of political behavior of users in …

The new outbreak of Covid-19 leads to the confusion and has many effects on people
including change in lifestyle and income opportunity. With the campaign of social distancing …

Abstract Aim/Purpose Any system that aims to address the task of modeling social media
communication need to deal with the usage of emojis. Efficient prediction of the most likely …