Web 2.0 is the second stage of development of the World Wide Web that is characterized by the growth of user-generated content and social media. User-generated content is defined as the voluntary contribution of individuals to the World Wide Web for either entertainment or for providing knowledge to other users across the globe. User-generated content analytics is considered as an invaluable and inexpensive source of information dissemination and influence discovery. Despite the difference in the format of the collected user-generated content and the nature of data analytic tasks performed on these content, frameworks that analyze user-generated content are broadly similar. In this thesis, we propose a five-phase framework that can be used to perform studies with user-generated content. The five phases of the framework are: (1) the authorization phase that authenticates the requests made by the application to collect the user-generated data from the source, (2) the crawling phase that connects to the user-generated content source and download the data, (3) the parsing phase that parses the collected data and extracts fields of interest to the analysis of the underlying application, (4) the analyzing phase that performs various data analytics tasks on that extracted data, and finally, (5) the visualization phase that visualizes the results of the analysis and presents the findings.As a proof of concept, we used the proposed framework to conduct two case studies. In the first case study, we used user-generated Twitter data to explore world’s interest in RIO 2016 Paralympics games. The goal of this study is to determine how different places of the World express different interests in Paralympics games. The results of this study can be used by the sporting industry to appropriately plan their support of the various games at the different countries and/or states. In the second case study, we used user-generated content from a learning record store to find whether the learning pursued by the employees of an organization (e.g., a hotel) has any positive or negative impact on the revenue of the organization. The results of this study can be used by the organization to evaluate the courses provided to their employees and appropriately fund for the learning of employees.

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