This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …

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, social media has become a tremendous source of acquiring user's opinions.
With the advancement of technology and sophistication of the internet, a huge amount of …

Sentiment analysis on large-scale social media data is important to bridge the gaps between
social media contents and real world activities including political election prediction …

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 …

Thanks to the Internet, the developments in communication technologies have brought
people closer together in recent years. The slow communication process of the past, using …

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 …

Today microblogging has become a very common platform for exchanging opinion among
us. Many users exchange their thoughts on various aspects of their activity. Consequently …

This paper presents a comprehensive evaluation of data pre-processing and word
embedding techniques in the context of Arabic document classification in the domain of …

The high variety in the forms of the Arabic words creates significant complexity related
challenges in Natural Language Processing (NLP) tasks for Arabic text. These challenges …