KLASIFIKASI KESALAHAN EJAAN KATA PADA ABSTRAK ARTIKEL ILMIAH MENGGUNAKAN METODE LEVENSHTEIN DISTANCE
Total View This Week0
Total View This Week0
Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
FARASI, ABDAN SHOLLA
Siregar, Riki Ruli A
Arianto, Rakhmat
Siregar, Riki Ruli A
Arianto, Rakhmat
Subject
Teknik Informatika
Datestamp
2022-09-21 03:57:28
Abstract :
The purpose of this research is to make a spell checker application model for abstract documents of journal using the Levenshtein Distance calculation method. Levenshtein Distance is a text mining method used to correct the wrong words. Before calculating Levenshtein Distance, the first step to do is preprocessing text to reduce the number of dimensions of the matrix to make it easier when used as input parameters into the Levenshtein Distance method, which includes tokenizing and stemming. Then calculate between the 2 strings to get the value of the edit distance used to edit (insertion, deletion, substitution). The Levenshtein Distance performance test results using the Confusion Matrix method so that the accuracy value is 73.70%, the precision value is 25.89% and the recall value is 37.27%. Based on the presentation, the conclusion is the Levenshtein Distance method can be used as a spell checker of words.
The purpose of this research is to make a spell checker application model for abstract documents of journal using the Levenshtein Distance calculation method. Levenshtein Distance is a text mining method used to correct the wrong words. Before calculating Levenshtein Distance, the first step to do is preprocessing text to reduce the number of dimensions of the matrix to make it easier when used as input parameters into the Levenshtein Distance method, which includes tokenizing and stemming. Then calculate between the 2 strings to get the value of the edit distance used to edit (insertion, deletion, substitution). The Levenshtein Distance performance test results using the Confusion Matrix method so that the accuracy value is 73.70%, the precision value is 25.89% and the recall value is 37.27%. Based on the presentation, the conclusion is the Levenshtein Distance method can be used as a spell checker of words.
Download
book
BibTex
Latex, Jabref
cloud_download
Original Resource
url resource Institution
