Personality Prediction Based on Sentiment Analysis

Social media provides an uninterrupted attachment and connectivity, between its user and the external world by revealing personal post/details and their point of view in every aspect of life. The focal aim of this project is to develop a system that can be used to predict personality of social...

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Main Author: Mohd Yazid, Muhamad Haziq Danial
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21823 /
Published: IRC 2020
Subjects:
Q Science (General)
Online Access: http://utpedia.utp.edu.my/21823/1/23347_MuhamadHaziqDanial.pdf
http://utpedia.utp.edu.my/21823/
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id utp-utpedia.21823
recordtype eprints
spelling utp-utpedia.218232021-09-24T09:55:47Z http://utpedia.utp.edu.my/21823/ Personality Prediction Based on Sentiment Analysis Mohd Yazid, Muhamad Haziq Danial Q Science (General) Social media provides an uninterrupted attachment and connectivity, between its user and the external world by revealing personal post/details and their point of view in every aspect of life. The focal aim of this project is to develop a system that can be used to predict personality of social media users and/or author of a text using sentiment analysis. The project main context is to reveal the profiling of these users based on their personality traits by the basis of the dataset. This profiling can become handy and convenient when it comes to career development, job compensation and situation preferences in different surroundings. The personality prediction uses information that is available to the public on the user’s personal social media account using the Big Five Model (Openness, Conscientiousness, Extraversion, Agreeableness & Neuroticism). IRC 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21823/1/23347_MuhamadHaziqDanial.pdf Mohd Yazid, Muhamad Haziq Danial (2020) Personality Prediction Based on Sentiment Analysis. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic Q Science (General)
spellingShingle Q Science (General)
Mohd Yazid, Muhamad Haziq Danial
Personality Prediction Based on Sentiment Analysis
description Social media provides an uninterrupted attachment and connectivity, between its user and the external world by revealing personal post/details and their point of view in every aspect of life. The focal aim of this project is to develop a system that can be used to predict personality of social media users and/or author of a text using sentiment analysis. The project main context is to reveal the profiling of these users based on their personality traits by the basis of the dataset. This profiling can become handy and convenient when it comes to career development, job compensation and situation preferences in different surroundings. The personality prediction uses information that is available to the public on the user’s personal social media account using the Big Five Model (Openness, Conscientiousness, Extraversion, Agreeableness & Neuroticism).
format Final Year Project
author Mohd Yazid, Muhamad Haziq Danial
author_sort Mohd Yazid, Muhamad Haziq Danial
title Personality Prediction Based on Sentiment Analysis
title_short Personality Prediction Based on Sentiment Analysis
title_full Personality Prediction Based on Sentiment Analysis
title_fullStr Personality Prediction Based on Sentiment Analysis
title_full_unstemmed Personality Prediction Based on Sentiment Analysis
title_sort personality prediction based on sentiment analysis
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/21823/1/23347_MuhamadHaziqDanial.pdf
http://utpedia.utp.edu.my/21823/
_version_ 1741195791450505216
score 11.62408

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