Due to the vast volumes of newly streamed data on the Internet and social media, the use of
sentiment analysis (SA) to extract information and analyze people's opinions has become a …

This article tackles the problem of sentiment analysis in the Arabic language where a new
deep learning model has been put forward. The proposed model uses a hybrid bidirectional …

Tokenization is an important early step in natural language processing (NLP) tasks. The
idea is to split the input sentence into smaller units, called tokens, for further processing …

Recently, the field of Natural Language Processing (NLP) has made significant progress
with the evolution of Contextualised Neural Language Models (CNLMs) and the emergence …

The propagation of hate speech has grown more particularly apparent on social media sites
as their usage for communication and unrestricted thought has increased on a worldwide …

In this thesis, our primary focus lies in advancing the research efforts and making significant
contributions to the Arabic language domain through the utilization of the state-of-the-art …

The use of hateful language in public debates and forums is becoming more common.
However, this might result in antagonism and conflicts among individuals, which is …

Driven by the abundance of biomedical publications, we introduce a sentiment analysis task
to understand food-health relationship. Prior attempts to incorporate health into recipe …

This paper provides an overview of the Arabic Sentiment Analysis Challenge organized by
King Abdullah University of Science and Technology (KAUST). The task in this challenge is …

Abstract Policies, legislation, surveillance, monitoring, direction, and enforcement, are
heavily influenced by public opinion or emotion. Due to the increase in electronic data …