ANALISIS SENTIMEN TENTANG UU CIPTA KERJA MENGGUNAKAN ALGORITMA NAÃVE BAYES
Total View This Week0
Total View This Week0
Institusion
Universitas Pembangunan Nasional Veteran Jakarta
Author
I Gusti Naufhal Daffa Adnyana, .
Subject
T Technology (General)
Datestamp
2021-12-21 07:26:54
Abstract :
Twitter is a platform that allows people to express their wishes, opinions and critiques directly. The ratification and promulgation of the Omnibus Law has generated many diverse opinions in the community, especially Twitter users. The purpose of this study is to understand the opinions of Twitter users on the Omnibus Law through the hashtag #UUCIPTAKERJA. In this study, public opinion is classified as positive and negative, then the Naive Bayes algorithm is used to classify tweets. The data is taken starting from October 5 - November 30, 2020 using the API provided by Twitter. The test results obtained using test data have an accuracy value of 80.53%, a recall value of 84.78%, and a specificity value of 73.79%.
Twitter is a platform that allows people to express their wishes, opinions and critiques directly. The ratification and promulgation of the Omnibus Law has generated many diverse opinions in the community, especially Twitter users. The purpose of this study is to understand the opinions of Twitter users on the Omnibus Law through the hashtag #UUCIPTAKERJA. In this study, public opinion is classified as positive and negative, then the Naive Bayes algorithm is used to classify tweets. The data is taken starting from October 5 - November 30, 2020 using the API provided by Twitter. The test results obtained using test data have an accuracy value of 80.53%, a recall value of 84.78%, and a specificity value of 73.79%.
Download
book
BibTex
Latex, Jabref
cloud_download
Original Resource
url resource Institution
