IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING FOR SPAM EMAIL DETECTION IN OUTCOME BASED EDUCATION (OBE) APPLICATION
The Natural Language Processing (NLP) approach has been proven to be effective in spam detection in e-mail because of its ability to process text and identify patterns and distinctive characteristics of spam e-mail. Methods in this NLP approach include data pre-processing, such as removing punctuat...
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| Format: | Article |
| Language: | English |
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LPPM of Narotama University Surabaya
2023-11-01
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| Series: | IJEBD (International Journal of Entrepreneurship and Business Development) |
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| Online Access: | https://jurnal.narotama.ac.id/index.php/ijebd/article/view/2587 |
| _version_ | 1797404806888816640 |
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| author | I Gede Susrama Mas Diyasa |
| author_facet | I Gede Susrama Mas Diyasa |
| author_sort | I Gede Susrama Mas Diyasa |
| collection | DOAJ |
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The Natural Language Processing (NLP) approach has been proven to be effective in spam detection in e-mail because of its ability to process text and identify patterns and distinctive characteristics of spam e-mail. Methods in this NLP approach include data pre-processing, such as removing punctuation, irrelevant common words, tokenization, stemming, and others, as well as classification techniques such as Support Vector Classifier (SVC), Naive Bayes, and others. In testing various models, there is one model that shows the highest precision with the number 0.98. This study shows that the NLP approach provides better performance in spam detection compared to other methods. However, it is necessary to improve technology and develop more complex detection methods to improve the performance and accuracy of the email spam detection model
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| first_indexed | 2024-03-09T03:01:19Z |
| format | Article |
| id | doaj.art-cff37b8693c44516a38cb56f467070fb |
| institution | Directory Open Access Journal |
| issn | 2597-4750 2597-4785 |
| language | English |
| last_indexed | 2024-03-09T03:01:19Z |
| publishDate | 2023-11-01 |
| publisher | LPPM of Narotama University Surabaya |
| record_format | Article |
| series | IJEBD (International Journal of Entrepreneurship and Business Development) |
| spelling | doaj.art-cff37b8693c44516a38cb56f467070fb2023-12-04T17:06:19ZengLPPM of Narotama University SurabayaIJEBD (International Journal of Entrepreneurship and Business Development)2597-47502597-47852023-11-016610.29138/ijebd.v6i6.2587IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING FOR SPAM EMAIL DETECTION IN OUTCOME BASED EDUCATION (OBE) APPLICATIONI Gede Susrama Mas Diyasa0Department of Data Science, Faculty of Computer Science, UPN “Veteran” East Java, Surabaya The Natural Language Processing (NLP) approach has been proven to be effective in spam detection in e-mail because of its ability to process text and identify patterns and distinctive characteristics of spam e-mail. Methods in this NLP approach include data pre-processing, such as removing punctuation, irrelevant common words, tokenization, stemming, and others, as well as classification techniques such as Support Vector Classifier (SVC), Naive Bayes, and others. In testing various models, there is one model that shows the highest precision with the number 0.98. This study shows that the NLP approach provides better performance in spam detection compared to other methods. However, it is necessary to improve technology and develop more complex detection methods to improve the performance and accuracy of the email spam detection model https://jurnal.narotama.ac.id/index.php/ijebd/article/view/2587NLP, Spam, Email, Machine Learning, Detection |
| spellingShingle | I Gede Susrama Mas Diyasa IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING FOR SPAM EMAIL DETECTION IN OUTCOME BASED EDUCATION (OBE) APPLICATION IJEBD (International Journal of Entrepreneurship and Business Development) NLP, Spam, Email, Machine Learning, Detection |
| title | IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING FOR SPAM EMAIL DETECTION IN OUTCOME BASED EDUCATION (OBE) APPLICATION |
| title_full | IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING FOR SPAM EMAIL DETECTION IN OUTCOME BASED EDUCATION (OBE) APPLICATION |
| title_fullStr | IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING FOR SPAM EMAIL DETECTION IN OUTCOME BASED EDUCATION (OBE) APPLICATION |
| title_full_unstemmed | IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING FOR SPAM EMAIL DETECTION IN OUTCOME BASED EDUCATION (OBE) APPLICATION |
| title_short | IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING FOR SPAM EMAIL DETECTION IN OUTCOME BASED EDUCATION (OBE) APPLICATION |
| title_sort | implementation of natural language processing for spam email detection in outcome based education obe application |
| topic | NLP, Spam, Email, Machine Learning, Detection |
| url | https://jurnal.narotama.ac.id/index.php/ijebd/article/view/2587 |
| work_keys_str_mv | AT igedesusramamasdiyasa implementationofnaturallanguageprocessingforspamemaildetectioninoutcomebasededucationobeapplication |