Stemming Bahasa Jawa Menggunakan Damerau Levenshtein Distance (Dld)

Wibawa, Aji Prasetya; Hakim, Muhammad Nu’man

doi:10.15408/jti.v14i1.15010

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Calculating the Weight With The Tf-idf Methods1

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2024

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Article2

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Cited by 2 publications

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“…The results of the document-stemming process will become a dataset that will be calculated using TF-IDF [42], [43]. TF-IDF is used to analyze how important a word is in a document.…”

Section: Calculating the Weight With The Tf-idf Methodsmentioning

confidence: 99%

Cognition-Based Document Matching Within the Chatbot Modeling Framework

Jatmika

2024

J. Appl. Data Sci.

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“…The results of the document-stemming process will become a dataset that will be calculated using TF-IDF [42], [43]. TF-IDF is used to analyze how important a word is in a document.…”

Section: Calculating the Weight With The Tf-idf Methodsmentioning

confidence: 99%

Cognition-Based Document Matching Within the Chatbot Modeling Framework

Jatmika

2024

J. Appl. Data Sci.

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Text Stemming and Lemmatization of Regional Languages in Indonesia: A Systematic Literature Review

Abidin,

Junaidi,

Wamiliana

2024

J. Inf. Syst. Eng. Bus. Intell.

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Background: Stemming is significantly essential in natural language processing (NLP) due to the ability to minimize word variations to fundamental forms. This procedure facilitates the analysis of textual data and enhances the precision of classification and information retrieval. Objective: Previous related systematic literature review has not been conducted on stemming and lemmatization in regional languages in Indonesia. Therefore, this study aims to conduct a systematic literature review to capture the latest developments in stemming and lemmatization in regional languages in Indonesia. Methods: This study was carried out using Kitchenham method, analyzing 35 studies extracted from 740, which were obtained from Scopus, IEEE Xplore, and Google Scholar, and published between 2014 and 2023. Results: The results showed that study trends in stemming possessed the potential to continue developing every year. Additionally, the main element in stemming and lemmatization studies was found to be the availability of digital dictionaries in regional languages. This was because greater number of basic vocabularies contributed more positively to stemming or lemmatization. The availability of word morphology information in regional languages would be constructive for making rule-based stemmers. Meanwhile, corpus-based stemming and lemmatization studies could only be conducted for languages with a large corpus to ensure there were various affixed words to process. Conclusion: Based on SLR study, stemming and lemmatization in regional languages in Indonesia developed significantly from 2014 to 2023. The two main strategies applied included using available digital dictionaries and language morphology information. However, the main challenges encountered were the limited number of vocabulary words in the dictionaries and testing various rule-based methods. Keywords: Lemmatization, Morphology, Rule-based, Stemming, Systematic Literature Review.

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Stemming Bahasa Jawa Menggunakan Damerau Levenshtein Distance (Dld)

Cited by 2 publications

References 10 publications

Cognition-Based Document Matching Within the Chatbot Modeling Framework

Cognition-Based Document Matching Within the Chatbot Modeling Framework

Text Stemming and Lemmatization of Regional Languages in Indonesia: A Systematic Literature Review

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