MUNTHOLIB, AJI (2022) SENTIMEN ANALISIS CYBERBULLYING DI TWITER MENGUNAKAN NAÏVE BAYES. Sarjana thesis, Universitas Muria Kudus.

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Abstrak

Social media can increase the number of cases of cyberbullying because of its feature features that allow people to spread information quickly and easily. Proper socialization is needed to social media users to increase public awareness of the dangers of social media abuse, one of which is Twitter. Tweets that contain elements of cyberbullying can be offensive and cause hostility among Twitter users. Therefore, to find out people's perspectives on cyberbullying, the authors conducted a sentiment analysis study regarding cyberbullying on Twitter social media. This study used the Naïve Bayes algorithm for the tweet classification process. The data used comes from accounts that often post tweets about cyberbullying using the Twitter API (Application Programming Interface). In the training data, tweets that contain elements of cyberbullying get a positive label, while tweets that do not contain elements of cyberbullying are labeled negatively. This analysis was performed using Microsoft Excel and Rapidminer with the Python programming language. The results of the analysis are expected from this study to find out people's views on cyberbullying based on public sentiment through sentiment analysis on Twitter social media using the Naïve Bayes algorithm

Item Type:	Skripsi/ Thesis (Sarjana)
Dosen Pembimbing:	Dosen Pembimbing 1. Ahmad Abdul Chamid, M.Kom. Dosen Pembimbing 2. Esti Wijayanti, S.Kom, M.Kom.
Kata Kunci:	cyberbullying, Twitter, Naïve Bayes, Rapidminer
Subjects:	Teknologi > Teknologi (umum) Teknologi > T1 Teknologi (Umum)
Program Studi:	Fakultas Teknik > S1 Teknik Informatika
Depositing User:	Mr Firman Al Mubaroq
Date Deposited:	22 Dec 2022 20:09
Last Modified:	25 Dec 2022 18:26
URI:	http://eprints.umk.ac.id/id/eprint/17502

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