Evaluating Social Context in Arabic Opinion Mining Mohammed Al-Kabi1, Izzat Alsmadi2, Rawan Khasawneh3, and Heider Wahsheh4 1Computer Science Department, Zarqa University, Jordan 2Computer Science Department, University of New Haven, USA 3Computer Information Systems Department, Jordan University of Science and Technology, Jordan 4Computer Science Department, King Khaled University, Saudi Arabia

balanced benchmark corpus. To accomplish this study ten Arabic lexicons were constructed manually, and a new tool called

#Big data # social networks # sentiment analysis # Arabic text classification # and analysis # opinion mining