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 …

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 …

Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …

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 …

With the recently grown attention from different research communities for opinion mining,
there is an evolving body of work on Arabic Sentiment Analysis (ASA). This paper introduces …

It is becoming increasingly difficult to know who is working on what and how in
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …

Word embeddings, which represent words as numerical vectors in a high-dimensional
space, are contextualized by generating a unique vector representation for each sense of a …

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 one of the most popular Natural Language Processing (NLP) tasks.
Text classification (aka categorization) is an active research topic in recent years. However …

This work presents a detailed comparison of the performance of deep learning models such
as convolutional neural networks, long short-term memory, gated recurrent units, their …