Sentiment Analysis of Cyberbullying in Social Media Using Decision Trees
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...
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Universiti Teknologi PETRONAS
2020
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| Online Access: | http://utpedia.utp.edu.my/id/eprint/20670/1/Aliza%20Sharina%20Bt%20Sulaiman.pdf http://utpedia.utp.edu.my/id/eprint/20670/ |
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oai:utpedia.utp.edu.my:206702023-03-17T02:14:33Z http://utpedia.utp.edu.my/id/eprint/20670/ Sentiment Analysis of Cyberbullying in Social Media Using Decision Trees Sulaiman, Aliza Sharina QA75 Electronic computers. Computer science 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. Universiti Teknologi PETRONAS 2020-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/20670/1/Aliza%20Sharina%20Bt%20Sulaiman.pdf Sulaiman, Aliza Sharina (2020) Sentiment Analysis of Cyberbullying in Social Media Using Decision Trees. [Final Year Project] (Submitted) |
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QA75 Electronic computers. Computer science Sulaiman, Aliza Sharina Sentiment Analysis of Cyberbullying in Social Media Using Decision Trees |
| description |
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. |
| format |
Final Year Project |
| author |
Sulaiman, Aliza Sharina |
| author_facet |
Sulaiman, Aliza Sharina |
| author_sort |
Sulaiman, Aliza Sharina |
| title |
Sentiment Analysis of Cyberbullying in Social Media Using
Decision Trees |
| title_short |
Sentiment Analysis of Cyberbullying in Social Media Using
Decision Trees |
| title_full |
Sentiment Analysis of Cyberbullying in Social Media Using
Decision Trees |
| title_fullStr |
Sentiment Analysis of Cyberbullying in Social Media Using
Decision Trees |
| title_full_unstemmed |
Sentiment Analysis of Cyberbullying in Social Media Using
Decision Trees |
| title_sort |
sentiment analysis of cyberbullying in social media using
decision trees |
| publisher |
Universiti Teknologi PETRONAS |
| publishDate |
2020 |
| url |
http://utpedia.utp.edu.my/id/eprint/20670/1/Aliza%20Sharina%20Bt%20Sulaiman.pdf http://utpedia.utp.edu.my/id/eprint/20670/ |
| _version_ |
1761620909332889600 |
| score |
13.222552 |