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 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.
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