Perbandingan Algoritma Klasifikasi Sentimen Twitter Terhadap Insiden Kebocoran Data Tokopedia
Public responses, posted on Twitter reacting to the Tokopedia data leak incident, were used as a data set to compare the performance of three different classifiers, trained using supervised learning modeling, to classify sentiment on the text. All tweets were classified into either positive, negativ...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Islam Negeri Sunan Kalijaga Yogyakarta
2021-05-01
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| Series: | JISKA (Jurnal Informatika Sunan Kalijaga) |
| Online Access: | http://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/2164 |