Syarief, Mochamad Gilang and Huda, Arief Fatchul and Kurahman, Opik Taupik and Darmalaksana, Wahyudin (2020) Improving Arabic Stemmer: ISRI Stemmer. In: 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT). Institut of Electrical and Electronic Engineers. ISBN 978-1-7281-4797-0
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Abstract
Stemmer is used in several types of applications such as Text Mining, Information Retrieval (IR), and Natural Language Processing (NLP). Stemmer is a step used to process text data. The main task in the stemmer is to return the word-formation to the basic word (root or stem). ISRI Stemmer is one of the Arabic stemmers contained in the NLTK package. This study improves the weakness of the ISRI stemmer in processing words consisting of two letters. From the results of the experiment, these improvements increased the stemmer yield by 7.3%.
| Item Type: | Book Section |
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| Uncontrolled Keywords: | Stemmer; Text Mining; Information Retrieval; Natural Language Processing; ISRI stemmer |
| Subjects: | Arabic Data Processing, Computer Science |
| Divisions: | Fakultas Sains dan Teknologi > Program Studi Teknik Informatika |
| Depositing User: | Ilham Nurfauzi |
| Date Deposited: | 08 Jun 2021 08:19 |
| Last Modified: | 18 Jun 2021 05:06 |
| URI: | https://etheses.uinsgd.ac.id/id/eprint/39807 |
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