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Filtering Hoax Menggunakan Naive Bayes Classifier

Authors: Putri Dinda Utami; Risna Sari;

Filtering Hoax Menggunakan Naive Bayes Classifier

Abstract

Abstrak - Forum merupakan salah satu tempat berinteraksi dan berpartisipasi dalam komunitas dunia maya yang memiliki minat yang sama. Forum mempunyai topik yang bermacam-macam, salah satunya adalah topik tentang kecantikan. Isi dari forum kecantikan adalah tentang tips dan trik tentang kecantikan. Namun, banyaknya komentar serta opini-opini dari pengguna lain membuat sulitnya mencari fakta dan hoax pada komentar forum. Laporan ini, menjelaskan tentang pendekatan algoritma naive bayes classifier untuk mendeteksi hoax pada komentar forum Female Daily . Tujuan dari penelitian ini adalah untuk mempermudah pengguna dalam mendeteksi hoax pada komentar thread forum. Penelitian ini memuat rancangan, membangun implementasi sistem dan melakukan tahapan data testing . Data training pada sistem ini didapat dari artikel pada website Female Daily . Dilakukan proses text preprocessing terlebih dahulu pada komentar sebelum data dihitung jumlah probabilitasnya dengan menggunakan algoritma naive bayes classifier . Pada tahap testing didapatkan hasil akurasi sebanyak 88% dengan data testing sebanyak 50 komentar.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold