Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …

Within the last couple of years, Sentiment Analysis in Arabic has gained a considerable
interest from the research community. In this respect, the objective of this paper is to provide …

To help individuals or companies make a systematic and more accurate decisions,
sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA, feature selection …

This paper introduces ASTD, an Arabic social sentiment analysis dataset gathered from
Twitter. It consists of about 10,000 tweets which are classified as objective, subjective …

Deep neural networks have shown good data modelling capabilities when dealing with
challenging and large datasets from a wide range of application areas. Convolutional …

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 …

Nowadays, people from all around the world use social media sites to share information.
Twitter for example is a platform in which users send, read posts known astweets' and …

How can big data help to understand the migration phenomenon? In this paper, we try to
answer this question through an analysis of various phases of migration, comparing …

Arabic language suffers from the lack of available large datasets for machine learning and
sentiment analysis applications. This work adds to the recently reported large dataset BRAD …

In this paper, deep learning framework is proposed for text sentiment classification in Arabic.
Four different architectures are explored. Three are based on Deep Belief Networks and …