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 …

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 …

The continuous rapid growth of electronic Arabic contents in social media channels and in
Twitter particularly poses an opportunity for opinion mining research. Nevertheless, it is …

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 …

Natural Language Processing (NLP) has increased significance in machine interpretation
and different type of applications like discourse combination and acknowledgment, limitation …

Recently, sentiment analysis of social media contents is very important for opinion mining in
several applications and different fields. Arabic sentiment analysis is one of the more …

Road traffic congestion is one of the most significant problems in the world, especially in
large cities. In Saudi Arabia, accidents and traffic jams have increased in many major roads …

During the past decades, emotion recognition from speech has become one of the most
explored areas in affective computing. These systems lack universality due to …

With the emergence of Web 2.0 technology and the expansion of on-line social networks,
current Internet users have the ability to add their reviews, ratings and opinions on social …

Web-based social networking organizations, for instance, Facebook and Twitter and web
based systems administration encouraging locales, for instance, Flickr and YouTube have …