Penerapan Analisis Sentimen pada Pengguna Twitter Menggunakan Metode K-Nearest Neighbor

Penerapan Analisis Sentimen pada Pengguna Twitter Menggunakan Metode K-Nearest Neighbor

Abstract This research is made to implement the KNN (K-Nearest Neighbor) algorithm for sentiment analysis Twitter about Jakarta Governor Election 2017. The object is 2000 data tweets in Indonesia collected from Twitter during Januari 2017 using Python package called Twitterscraper. The methode used...

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Bibliographic Details
Main Authors: Akhmad Deviyanto, Muhammad Didik Rohmad Wahyudi
Format: Article
Language:English
Published: Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2018-12-01
Series:JISKA (Jurnal Informatika Sunan Kalijaga)
Online Access:http://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/1221

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