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 …

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 …

We present a newly collected data set of 8,868 gold-standard annotated Arabic twitter feeds.
The corpus is manually labelled for subjectivity and sentiment analysis (SSA)(κ= 0.816). In …

Nowadays, the automatic detection of emotions is employed by many applications across
different fields like security informatics, e-learning, humor detection, targeted advertising, etc …

Sentiment analysis in Arabic is challenging due to the complex morphology of the language.
The task becomes more challenging when considering Twitter data that contain significant …

Opinion mining in Arabic is a challenging task given the rich morphology of the language.
The task becomes more challenging when it is applied to Twitter data, which contains …

Recently, subjectivity and sentiment analysis of Arabic has received much attention from the
research community. In the past two years, an enormous number of references in the field …

In recent years, the use of social media has rapidly increased and developed significant
influence on its users. In the study of the behavior, reactions, approval, and interactions of …

Parmi les signes en circulation sur les plateformes du web social, les emoji tiennent un rôle
particulier. De nature graphique, ils sont employés autant par les usagers que par les …

With the significant growth of user-generated content on the Web, sentiment analysis has
gained increasing importance to draw insights of online social data and turn it into a …