Classification of Indonesian quote on Twitter using Na?ve Bayes

2nd Annual Applied Science and Engineering Conference

工业技术;自然科学

Rachmadany, A.^1 ; Pranoto, Y.M.^2 ; Gunawan^2 ; Multazam, M.T.^3 ; Nandiyanto, A.B.D.^4 ; Abdullah, A.G.^5 ; Widiaty, I.^6

Fakultas Teknik Informatika, Universitas Muhammadiyah Sidoarjo, Indonesia^1

Sekolah Tinggi Teknik Surabaya, Indonesia^2

Fakultas Hukum, Universitas Muhammadiyah Sidoarjo, Indonesia^3

Departemen Kimia, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No. 229, Jawa Barat Bandung

40154, Indonesia^4

Departemen Pendidikan Teknik Elektro, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No. 229, Jawa Barat Bandung

40154, Indonesia^5

Departemen Pendidikan Kesejahteraan Keluarga, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No. 229, Jawa Barat Bandung

40154, Indonesia^6

关键词: Indonesians;    Naive bayes;    Social media;    Text classification;    Twitter datum;    WEB application;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/288/1/012162/pdf
DOI  :  10.1088/1757-899X/288/1/012162

来源: IOP

【 摘 要 】

Quote is sentences made in the hope that someone can become strong personalities, individuals who always improve themselves to move forward and achieve success. Social media is a place for people to express his heart to the world that sometimes the expression of the heart is quotes. Here, the purpose of this study was to classify Indonesian quote on Twitter using Naïve Bayes. This experiment uses text classification from Twitter data written by Twitter users which are quote then classification again grouped into 6 categories (Love, Life, Motivation, Education, Religion, Others). The language used is Indonesian. The method used is Naive Bayes. The results of this experiment are a web application collection of Indonesian quote that have been classified. This classification gives the user ease in finding quote based on class or keyword. For example, when a user wants to find a 'motivation' quote, this classification would be very useful.