Stemming Algorithm for the Indonesian Language: A Scientometric View

Author:

Maesya Aries1,Ramadhan Arief1,Abdurachman Edi1,Trisetyarso Agung1,Zarlis Muhammad1

Affiliation:

1. Bina Nusantara University,BINUS Graduate Program - Computer Science,Computer Science Department,Jakarta,Indonesia,11480

Publisher

IEEE

Reference21 articles.

1. Comparison of Effectiveness of Stemming Algorithms in Indonesian Documents

2. Sentiment analysis of twitter data related to Rinca Island development using Doc2Vec and SVM and logistic regression as classifier;hidayat;Procedia Comput Sci,2021

3. Comparison of Stemming and Similarity Algorithms in Indonesian Translated Al-Qur ' an Text Search;suzanti;J Ilm Kursor,2021

4. Klasifikasi Berita Olahraga Menggunakan Metode Naïve Bayes dengan Enhanced Confix Stripping Stemmer;pramudita;J Teknol Inf dan Ilmu Komput,2018

5. Co-authorship network analysis in health research: Method and potential use;de p f e fonseca;Health Research Policy and Systems,2016

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1. Indonesian Police in the Twitterverse: A Sentiment Analysis Perspectives;2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2023-11-29

2. Development of Sundanese Stemmer Based on Morphophonemics;2023 10th International Conference on ICT for Smart Society (ICISS);2023-09-06

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