SISTEM KOREKSI EJAAN BAHASA INDONESIA PADA BERITA ONLINE MENGGUNAKAN METODE LONG SHORT-TERM MEMORY

WARASTRI, ATIKAH SYIFA and Utami, Alvi Syahrini and Miraswan, Kanda Januar (2024) SISTEM KOREKSI EJAAN BAHASA INDONESIA PADA BERITA ONLINE MENGGUNAKAN METODE LONG SHORT-TERM MEMORY. Undergraduate thesis, Sriwijaya University.

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Abstract

When writing news articles, ease of understanding and comprehension by readers is something that must be considered by the writer. One of the crucial things in writing a work is spelling errors or what are called typos. To avoid misinterpretation by readers, an automatic spelling correction system is needed in order to detect and correct spelling errors. One of the approaches used is the Long Short-Term Memory method using word2vec or TF-IDF to produce the probability of each unique word from the training data. In the experiment, the highest accuracy value was obtained at 0.3273 using the word2vec configuration. The test results show a Root Mean Square Error value of 0.997 with the distance between the probability of the predicted results and the ground truth ranging from 0.913 to 0.999.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Typographical Error, Long Short-Term Memory, Word2Vec, TF-IDF, Root Mean Square Error
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Atikah Syifa Warastri
Date Deposited:	15 Aug 2024 05:00
Last Modified:	15 Aug 2024 05:00
URI:	http://repository.unsri.ac.id/id/eprint/155196

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