Predicting Users’ Personality from Social Media using Linguistic and Social Network Features

Marouf, Ahmed Al

dc.contributor.author	Marouf, Ahmed Al
dc.date.accessioned	2020-10-26T07:16:52Z
dc.date.available	2020-10-26T07:16:52Z
dc.date.issued	2019-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/557
dc.description	Supervised by Prof. Dr. Md. Kamrul Hasan	en_US
dc.description.abstract	Social media such as Facebook, Twitter, Google+ etc. has become a huge repository of textual data and images as each of the users’ are creating posts, sharing views or news, capturing the moments via photos etc. User generated textual data such as statuses can be considered as the essential language to communicate in social media with others. Predicting personality traits from these social media data is a sophisticated task performed in computational social science. Among several personality prediction models, the Big Five Factor Model is one of the widely used personality traits hypothesis used by computational psychologists. The five traits that are centered for identifying ones personality are Openness-to-experience (O), Conscientiousness (C), Extraversion (E), Agreeableness (A), and Neuroticism (N). The first four traits are considered as positive traits and the only negative personality trait is neuroticism. In this thesis, we have focused on predicting these personality traits utilizing linguistic & social network features and identifying the prominent features using feature selection algorithms for each of the traits separately. We have evaluated the efficiency of machine learning techniques using the extracted features. To determine the most prominent features for individual personality traits and features that are commonly found in every personality traits, manual and automated feature selection has been applied. It is anticipated that the analysis reported in this study can be applied to develop personalized recommendation systems in social media, predicting personality disorder and identifying the trust issues in social media.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering, Islamic University of Technology, Gazipur, Bangladesh	en_US
dc.subject	Social Media, Computational Personality Prediction, Personality Traits, Psycholinguistic Features, Social Network Features, Automated Feature Selection Algorithms.	en_US
dc.title	Predicting Users’ Personality from Social Media using Linguistic and Social Network Features	en_US
dc.type	Thesis	en_US