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All Journal JOIV : International Journal on Informatics Visualization
Aldo Erianda
Politeknik Negeri Padang, Padang, Indonesia
Computer Science & IT

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Improvement of Email And Twitter Classification Accuracy Based On Preprocessing Bayes Naive Classifier Optimization In Integrated Digital Assistant Aldo Erianda; Indri Rahmayuni
JOIV : International Journal on Informatics Visualization Vol 1, No 2 (2017)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1333.273 KB) | DOI: 10.30630/joiv.1.2.21

Abstract

This research focuses on improving the accuracy  of email and twitter classification. Spelling mistakes and lack of matches with bag of word causes the low accuracy in classifying. This research used naïve Bayes as a text classification algorithms. Text is divided into three categories: personal, work and family. To achieve maximum likelikehood value for  the category, a better preprocessing techniques is needed. It is necessary for the process to normalize the preprocessing and search for words that correspond to classes in the bag of word. So that the text can be classified by category or has a higher precision accuracy.
Co-Authors Indri Rahmayuni