Use of Semantic Co-relation in Target Audience Profiling

Abstract

With more companies doing businesses on social media, how can a company stand out from the increasingly crowded social space to find prospective customers from the audience in social media? It remains a challenge to sift through the huge amount of social media data, integrate the information and correlate among the different keywords or entities to form a more comprehensive view. The proposed solution aims to combine social media data and semantic linked data to extract relevant information and capture the relationship among the entities from content shared by the audience. With a targeted audience profiling, company is able to spend marketing dollars more effectively by sending the right offers to the right audience and hence maximize marketing efficiency and improve return of investment (ROI).