Abstract:
Social media platforms such as blogs, social
networking sites, content communities and virtual worlds are
tremendously becoming one of the most powerful sources for
news, markets, industries, and much more. They are a wide
platform full of thoughts, emotions, reviews and feedback, which
can be used in many aspects. Despite these great avails, and with
the increasingly enormous number of Arabic users on the
internet, little research has tied these two together in a high and
accurate professional manner
This paper deals with Arabic Sentiment Analysis. We
developed a framework that makes it possible to analyze Twitter
comments or ?Tweets? as having positive, negative or neutral
sentiments. This can be applied in a wide range of applications
ranging from politics to marketing. This framework has many
novel aspects such as handling Arabic dialects, Arabizi and
emoticons. Also, crowdsourcing was utilized to collect a large
dataset of tweets.