Senitimental Analysis of Behavoral Changes in the Society Due To Ramadan in Islamic World

This paper presents the study of online human behavior during the holy month of Ramadan using a big dataset that is extracted from Twitter platform as text tweets. Furthermore, this study has gone through the human behavior in different cases in which we have divided our study into two sections. Starting with a comparison of the human behavior during Ramadan in three different GCC countries; Sultanate of Oman, Kuwait, and Kingdom of Saudi Arabia. In the second part, we have gathered more Twitter data related to the behavior of human in Ramadan with regarding shopping. We have specified three categories of shopping: clothes, food, and grocery. However, this part is not specified by a certain country or nation. Both parts were done by examining the Twitter data collected using Python Twitter API (Tweepy) that enabled us to look into public tweets related to our topic.