Twitter Data Processing

Given the plurality of voices available on the Internet, it is often difficult to estimate the level of expertise of the individuals that one encounters in cyber-space. On the other hand, it is also difficult for any individual expert to establish their credibility in this sea of screaming voices. Therefore, it is desirable to have an independent mechanism to prove a given person's claims to authenticity and legitimacy. One valuable source of information in this endeavour is the individual's interactions with content on the web, be it blogging, tweeting, etc. The specific goal of this project is to extract a collection of topics from the links posted to a given Twitter account to identify the user's interests and to use that collection to provide a mechanism for comparing the acuteness of the interest of different individuals in a given topic. This research will contribute to advancing the industry partner’s suite of tools and services to aid professionals in building online credibility.

Faculty Supervisor:

Dr. Nando de Freitas

Student:

Masrour Zoghi

Partner:

CrowdTrust Technologies Ltd.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of British Columbia