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Personality Analysing on Watson Cloud by tracking the digital footprints of the user

Chirayil Subhash, Sarath (2015) Personality Analysing on Watson Cloud by tracking the digital footprints of the user. Masters thesis, Dublin, National College of Ireland.

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Abstract

Artificial intelligence has become prime defacto in offering solution to complex and unstructured data. The intelligence architecture consists of a network of computers interlinked with each other that uses the data mining technology to extract information and custer them to give a valid answer to the existing complex query. Use of machine language in predicting new algorithm for the complex solution is done based on the unstructured data that is fed in. The process that we undergo is to repeat and analyze the input fed into the machine and validating the output for all the use cases. Social networks has become an integral part in the our society. They are build and deployed in cloud using the available infrastructure. Social networks has served us in many ways to become a basic necessity in our day to day activities. Social networks has grown their business and has had an impact on our current generation. Today one can judge others character based on the posts or tweets made in social networking platforms. It is evident to characterize the person and determine the skills acquired by the user to build up his career. In this research we propose that the personality of a human can be determined by the way someone uses his/her social networking account. The lean measure of personality is assessed based on Big 5 personality traits model. We have used personality insight API in Watson cloud to analyze and predict the personality of the user. In this research we have constantly analyzed the users personality scores and studied the pattern on the personality quality attained by each politician. The application is tested in cloud and the personality of the Twitter user is extracted and analyzed. The novelty lies in ideally predicting the character of the Twitter user based on statistical analytics we will determine weather the politician will turn out to be a good politician with the personality that he possess. Our sample dataset is a cluster of politicians who are active Twitter users. This application can be used to predict the outcome based on personality insight using Twitter feeds. Here in this research paper, we start by analyzing the Watson Cloud, Twitter lexical pattern, and the Big 5 personality trait model.

Item Type: Thesis (Masters)
Subjects: T Technology > T Technology (General) > Information Technology > Cloud computing
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 11 Feb 2016 11:17
Last Modified: 11 Feb 2016 11:17
URI: http://trap.ncirl.ie/id/eprint/2119

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