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BibTex Citation Data :
@article{JOIV21,
author = {Aldo Erianda and Indri Rahmayuni},
title = {Improvement of Email And Twitter Classification Accuracy Based On Preprocessing Bayes Naive Classifier Optimization In Integrated Digital Assistant},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {1},
number = {2},
year = {2017},
keywords = {bayes naive classifier; preprocessing; machine learning},
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.},
issn = {2549-9904}, pages = {53--56}, doi = {10.30630/joiv.1.2.21},
url = {https://joiv.org/index.php/joiv/article/view/21}
}
Refworks Citation Data :
@article{{JOIV}{21}, author = {Erianda, A., Rahmayuni, I.}, title = {Improvement of Email And Twitter Classification Accuracy Based On Preprocessing Bayes Naive Classifier Optimization In Integrated Digital Assistant}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {1}, number = {2}, year = {2017}, doi = {10.30630/joiv.1.2.21}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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