Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many
fields such as data mining, natural language processing and machine learning. It is …

The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …

Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

Social media is growing as a communication medium where people can express online their
feelings and opinions on a variety of topics in ways they rarely do in person. Detecting …

Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in developing models for sentiment analysis, the …

Text classification is a prominent research area, gaining more interest in academia, industry
and social media. Arabic is one of the world's most famous languages and it had a …

Abstract Task 1 in the International Workshop SemEval 2018, Affect in Tweets, introduces
five subtasks (El-reg, El-oc, V-reg, V-oc, and Ec) to detect the intensity of emotions in …

This paper presents one of the top five winning solutions for the Shared Task on Sarcasm
and Sentiment Detection in Arabic (Subtask-1 Sarcasm Detection). The goal of the task is to …

In this paper, we deal with the issue of sentiment analysis on dialectal comments extracted
from social media. These comments concern the Algerian spoken language, written in …

Abstract We present the Shami-Senti corpus, the first Levantine corpus for Sentiment
Analysis (SA), and investigate the usage of off-the-shelf models that have been built for …