استخدام أدوات البيانات الضخمة لتحليل الآراء والمشاعر للتغريدات المتعلقة بالحج

Abstract

يقصد ملايين المسلمين المشاعر المقدسة بمكة المكرمة سنويًا لأداء فريضة الحج. يتواصل كثير منهم مع أقاربهم وأصدقائهم عبر تويتر ويحكون تجربتهم من خلاله. تحليل مشاعرهم وآرائهم يساعد ويسهل اتخاذ القرارت المتعلقة بما يتحدثون عنه. هذه الورقة البحثية تعرض أبرز أدوات وتقنيات البيانات الضخمة التي يمكن استخدامها لجمع وتحليل التغريدات والتي يمكن استخدامها في الحج. مما لاشك فيه أن الحج يحتوي على العديد من البيانات الضخمة؛ لذلك تبين هذه الورقة العلمية أهمية استخدام أدوات وتقنيات البيانات الضخمة بكفاءة لتسهل عملية اتخاذ القرار التي تسهم في تطوير الخدمات المقدمة في الحج المقدمة من جهات مختلفة.

Millions of Muslims gather annually at The Sacred Places in Makkah to perform Hajj. Many of them use Twitter to talk about their experience as well as communicate with their relatives and friends. Sentiment analysis helps to measure people’s opinion about a matter which facilitates taking decisions. This paper uses Spring XD, Hadoop, Hive, and Microsoft Excel to collect, refine, and visualize tweets. There is no doubt that Hajj involves many data, so this paper presents the importance of using big data tools effectively in Hajj to enhance the services provided by different organizations. Introduction We live currently in the era of tremendous amount of available data. Big data is a term that is widely spread and used these days. Also, it has many definitions. One definition that is relevant to the proposed use of big data in this paper is “a new attitude by businesses, non-profits, government agencies, and individuals that combining data from multiple sources could lead to better decisions” [1] [2]. According to The Saudi Arabian Central Department of Statistics and Information, 2,085,238 Muslims coming from various countries all over the world have performed Hajj this year [3]. Twitter is one of the most popular social networks worldwide [4]. It is also widespread in Saudi Arabia as Saudi has the highest number of active Twitter users in the Arab World (2.4 million active users) [5] [6]. This paper uses Spring XD, Hadoop, Hive, and Microsoft Excel as a proof of concept to collect, refine, and visualize tweets. Furthermore, there is no doubt that Hajj involves many forms and types of big data, as the previous numbers show, so this paper presents the importance of using big data tools effectively in Hajj to enhance the services provided by businesses, non-profits, government agencies, and individuals.