ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP PRODUK XIAOMI DENGAN MENGGUNAKAN ALGORITMA K-MEANS DAN NAÏVE BAYES

Hidayat, Salafudin Ridwan (2020) ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP PRODUK XIAOMI DENGAN MENGGUNAKAN ALGORITMA K-MEANS DAN NAÏVE BAYES. Other thesis, Universitas Amikom Purwokerto.

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Abstract

With the advent of Web 2.0 both companies and individuals are increasingly using content in social networking media to make decisions. Xiaomi as one of the companies engaged in electronics has used Twitter as a promotional medium. The purpose of this research is to find out people's sentiment towards Xiaomi products on Twitter and to find out the accuracy of the k-means and naïve Bayes algorithm. This research was conducted using the K-means algorithm and Naïve Bayes. the k-means algorithm is used for grouping comments and naïve bayes are used for classification and calculating accuracy. Based on the research that has been done, the results of the k-means algorithm are 185 positive data and 59 negative items while the naïve Bayes algorithm has a precision of 98,17%, 87,03% recall, 92,27% f-measure and 88,93% Accuracy.

Item Type: Thesis (Other)
Additional Information: Dosen Pembimbing: Nurfaizah, M.Kom.
Uncontrolled Keywords: Xiaomi, Sentiment Analysis, K-means Algorithm, Naïve Bayes Algorithm.
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Sistem Informasi
Depositing User: UPT Perpustakaan Pusat Universitas Amikom Purwokerto
Date Deposited: 06 Nov 2020 02:28
Last Modified: 06 Nov 2020 02:28
URI: http://eprints.amikompurwokerto.ac.id/id/eprint/372

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