ANALYSIS OF PUBLIC DATA ON SOCIAL NETWORKS WITH IBM WATSON

• Main Author: Zoltan
• Format: Article
• Language: English
• Published: Zibeline International 2018-02-01
• Series: Acta Informatica Malaysia
• Subjects: IBM Watson; personality insights; visual recognition; social network; neural network
• Online Access: https://zibelinepub.com/archives/1aim2018/1aim2018-10-11.pdf

As more and more people are using the the social networks, they leave enormous amount of digital footprints of their personality available to them with every click. In this exploratory research, the publicly available data is collected from the biggest social network (Facebook) and sent to IBM Watson to reveal hidden personality traits that the posts and the profile pictures might contain. Watson is the name of the the cognitive computing system developed by IBM. It has several subsystems including the Personality Insights, that extracts personality traits from text and the Visual Recognition, that can be taught to analyze pictures. Firstly, the posts of Facebook users would be sent to Watson Personality Insights to get their Big5 personality traits, then their profile images and their personality traits will be linked to train the Visual Recognition. With a high number of input, the API probably could output the personality traits with high significance.