STEMMING BAHASA JAWA MENGGUNAKAN DAMERAU LEVENSHTEIN DISTANCE (DLD)

A. Wibawa, Muhammad Nu’man Hakim
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引用次数: 1

Abstract

Stemming is one of the essential stages of text mining. This process removes prefixes and suffixes to produce root words in a text. This study uses a string matching algorithm, namely Damerau Levenshtein Distance (DLD), to find the basic word forms of Javanese. Test data of 300 words that have a prefix, insertion, suffix, a combination of prefix and suffix, and word repetition. The results of this study indicate that the Damerau Levenshtein Distance (DLD) algorithm can be used for Stemming Javanese text with an accuracy value of 49.6%.
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词干提取是文本挖掘的重要阶段之一。此过程删除前缀和后缀以生成文本中的词根。本研究使用Damerau Levenshtein Distance (DLD)字符串匹配算法来寻找爪哇语的基本词形。测试300个单词的数据,这些单词有前缀、插入、后缀、前缀和后缀的组合以及单词重复。研究结果表明,Damerau Levenshtein Distance (DLD)算法可用于爪哇语文本的词干提取,准确率为49.6%。
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发文量
15
审稿时长
8 weeks
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