ANALISIS KARAKTER KEPRIBADIAN SESEORANG MENGGUNAKAN ALGORITMA NAÏVE BAYESS CLASSIFIER (STUDI KASUS TWITTER RESMI BASUKI TJAHAJA PURNAMA DAN ANIES BASWEDAN)

IRE ICCA AGUSTIORINI HARSEHANTO, NIM. 14650007 (2018) ANALISIS KARAKTER KEPRIBADIAN SESEORANG MENGGUNAKAN ALGORITMA NAÏVE BAYESS CLASSIFIER (STUDI KASUS TWITTER RESMI BASUKI TJAHAJA PURNAMA DAN ANIES BASWEDAN). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

There are many ways that can be done to find out how the character of a person's personality. One way is to do a psychological test or interview. Nowadays social media can provide information about the character of a person's personality that can be seen from the style of the posts shared. This research uses data from social media Twitter based on the results of tweets from user_timeline @basuki_btp and @aniesbaswedan. This study uses 2100 tweet data. Data that has been collected is then pre-processed first and labeled manually. The next process is classification using the Naïve Bayess Classifier Algorithm using the Big Five Personality Theory. Based on the test results using 500 tweet data as training data and 1600 tweet data as testing data. The classification results obtained by using the Naïve Bayes Classifier Method and grouped in the "Big Five" personality groups: Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism on tweet data in Indonesian.

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