Analysis of Personality Characteristic Using the Naïve Bayess Classifier Algorithm (Case Study Official Twitter of Basuki Tjahaja Purnama's and Anies Baswedan) | Zendy

Ireicca Agustiorini Harsehanto | Zendy; Mochamad Wahyudi | Zendy

Open Access

Analysis of Personality Characteristic Using the Naïve Bayess Classifier Algorithm (Case Study Official Twitter of Basuki Tjahaja Purnama's and Anies Baswedan)

Author(s) -

Ireicca Agustiorini Harsehanto,

Mochamad Wahyudi

Publication year - 2019

Publication title -

ijid (international journal on informatics for development)

Language(s) - English

Resource type - Journals

eISSN - 2549-7448

pISSN - 2252-7834

DOI - 10.14421/ijid.2018.07203

Subject(s) - agreeableness , naive bayes classifier , neuroticism , classifier (uml) , computer science , personality , conscientiousness , openness to experience , timeline , artificial intelligence , social media , big data , machine learning , extraversion and introversion , big five personality traits , algorithm , psychology , data mining , mathematics , social psychology , world wide web , statistics , support vector machine

- 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 Naive 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 Naive 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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