Twitter Analytics for Discovering Socially Important Locations for Business Improvement

This work aims to investigate the role of social media for profiling businesses at specific locations within the Kingdom of Saudi Arabia. The applied methodology focuses exclusively on the location information linked to the customer's feedback about an organization or business. In this regard, nearly 10,000 tweets that were posted within the Saudi Arabia region were collected from Twitter, which is a very popular Micro-blogging forum. Data exploratory methods and clustering model were employed to analyze the spatial patterns across the geo-located customer tweets. The data exploratory method was used to determine how information about a particular organization is spread around the world in the Saudi Arabia Twitter community. The clustering technique is applied to discover socially important locations for profiling new businesses or expanding the existing ones. The experimental results are encouraging and it is greatly expected that it will open a new way to identify the most important locations within the Kingdom of Saudi Arabia for profiling businesses leading up to customer satisfaction.