Abstract:
Social Media is the most common platform for communication & sharing
experiences, life events with friends & family. A user is always very much interested
to know about himself & his personality. So there is need of a platform where users
get perfect analysis of their personalities based on some research work. Our project
focuses on one such technology i.e. analyzing personality based on what a user
shares at social media sites like “Twitter”. A user’s tweets are collected from his
profile, pre-processed, features are extracted & sent to personality prediction
algorithm which in return outputs result according to big five model. The best part
of our project is that is that user can better understand the results with 8 different
types of graphs which are generated as output showing percentages of each trait.
Some previous work like sentimental analysis based on social media has been done.
The idea is to facilitate user by presenting him with analysis of his personality with
minimum effort. In future this work can be extended to suggest different types of
music based on his mood types or suggest a user what book he must read in a specific
mood derived from his personality analysis.
