Sentiment Classification on The Act of Paedophiles on Twitter

Twitter is an online microblogging site where people share their thoughts by tweeting on their timeline in short messages called tweets. Sometimes all the information shared by the user is not true. However, there are individuals who use Twitter for the satisfaction of their sexual desires. In...

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Main Author: Mohd Razali, Yasmin
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20971 /
Published: IRC 2019
Subjects:
Q Science (General)
Online Access: http://utpedia.utp.edu.my/20971/1/Yasmin%20Mohd%20Razali_22602.pdf
http://utpedia.utp.edu.my/20971/
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spelling utp-utpedia.209712021-09-10T08:57:36Z http://utpedia.utp.edu.my/20971/ Sentiment Classification on The Act of Paedophiles on Twitter Mohd Razali, Yasmin Q Science (General) Twitter is an online microblogging site where people share their thoughts by tweeting on their timeline in short messages called tweets. Sometimes all the information shared by the user is not true. However, there are individuals who use Twitter for the satisfaction of their sexual desires. In this case, there are few cases for the past seven years of sex offenders logging in to Twitter to find their victims. This sex offenders are known as paedophiles. Paedophiles case have increased drastically in the social media since they are targeting children, especially when social media platforms are mainly used by children and teenagers. This paper aims to conduct a study on sentiment analysis that can predict the sentiment of the tweets that are posted by the users in twitter. Furthermore, the purpose of this project is to be able create a system with a new workflow in conducting a sentiment analysis. Although, there are a lot of researchers who came out with a few methods for sentiment analysis, this paper focuses mainly on doing a sentiment analysis classification on Twitter’s tweet based on the topic domain. Sentiment analysis uses a predicting sentiment polarity to get precise results. The main objective of this paper is to have a new workflow in doing sentiment analysis that uses KNIME platform and the data can be showed on the dashboard in Power BI. 4 IRC 2019-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20971/1/Yasmin%20Mohd%20Razali_22602.pdf Mohd Razali, Yasmin (2019) Sentiment Classification on The Act of Paedophiles on Twitter. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic Q Science (General)
spellingShingle Q Science (General)
Mohd Razali, Yasmin
Sentiment Classification on The Act of Paedophiles on Twitter
description Twitter is an online microblogging site where people share their thoughts by tweeting on their timeline in short messages called tweets. Sometimes all the information shared by the user is not true. However, there are individuals who use Twitter for the satisfaction of their sexual desires. In this case, there are few cases for the past seven years of sex offenders logging in to Twitter to find their victims. This sex offenders are known as paedophiles. Paedophiles case have increased drastically in the social media since they are targeting children, especially when social media platforms are mainly used by children and teenagers. This paper aims to conduct a study on sentiment analysis that can predict the sentiment of the tweets that are posted by the users in twitter. Furthermore, the purpose of this project is to be able create a system with a new workflow in conducting a sentiment analysis. Although, there are a lot of researchers who came out with a few methods for sentiment analysis, this paper focuses mainly on doing a sentiment analysis classification on Twitter’s tweet based on the topic domain. Sentiment analysis uses a predicting sentiment polarity to get precise results. The main objective of this paper is to have a new workflow in doing sentiment analysis that uses KNIME platform and the data can be showed on the dashboard in Power BI. 4
format Final Year Project
author Mohd Razali, Yasmin
author_sort Mohd Razali, Yasmin
title Sentiment Classification on The Act of Paedophiles on Twitter
title_short Sentiment Classification on The Act of Paedophiles on Twitter
title_full Sentiment Classification on The Act of Paedophiles on Twitter
title_fullStr Sentiment Classification on The Act of Paedophiles on Twitter
title_full_unstemmed Sentiment Classification on The Act of Paedophiles on Twitter
title_sort sentiment classification on the act of paedophiles on twitter
publisher IRC
publishDate 2019
url http://utpedia.utp.edu.my/20971/1/Yasmin%20Mohd%20Razali_22602.pdf
http://utpedia.utp.edu.my/20971/
_version_ 1741195689836150784
score 11.62408

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