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Sentiment Analysis of Cyberbullying in Social Media Using Decision Trees

Sulaiman, Aliza Sharina (2020) Sentiment Analysis of Cyberbullying in Social Media Using Decision Trees. Universiti Teknologi PETRONAS. (Submitted)

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The given paper describes modern approach to the task of sentiment analysis of cyberbullying in social media by using decision trees. These methods are based on statistical models, which are a machine learning algorithms. Using social media nowadays, age has grown significantly in our personal lives. People like to share their experiences in public social media sites with their friends. This has also risen the possibilities and advancement of security threats. This study uses data mining techniques from the views of users written ion Twitter to use in sentiment analysis of decision tree classification. The study used different keyword to extract users’ thoughts or feelings through their tweets. KNIME is also used to assist in making analysis sentiments by using three different datasets with the Decision Tree approaches.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 06 Sep 2021 09:15
Last Modified: 06 Sep 2021 09:15
URI: http://utpedia.utp.edu.my/id/eprint/20670

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