@inproceedings{1c276362b5204d428527e5a1f262a855,
title = "Word Sense Disambiguation in Bahasa Indonesia Using SVM",
abstract = "Currently, the use of Indonesian language on the internet is growing rapidly and many of the existing sentences contain ambiguous words. In Natural Language Processing the problem to find out the meaning of an ambiguous word is called Word Sense Disambiguation. Word sense disambiguation is a problem about how we know the meaning of an ambiguous word in a given sentence. Many uses if we can solve word sense disambiguation problems such as can be used for text classification, text clustering and for machine translation. In this paper, we propose the use of SVM algorithm with TF-IDF as the feature extraction method and Wikipedia as the training data to solve the WSD problem of Indonesian language. The results of our proposed method reach an accuracy level of 0.877.",
keywords = "SVM, TF-IDF, Wikipedia, Word Sense Disambiguation",
author = "Edi Faisal and Farza Nurifan and Riyanarto Sarno",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018 ; Conference date: 21-09-2018 Through 22-09-2018",
year = "2018",
month = nov,
day = "27",
doi = "10.1109/ISEMANTIC.2018.8549824",
language = "English",
series = "Proceedings - 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, iSemantic 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "239--243",
booktitle = "Proceedings - 2018 International Seminar on Application for Technology of Information and Communication",
address = "United States",
}