Resources

1. Asian J. (2007) “Effective Techniques for Indonesian Text Retrieval”. PhD thesis School of Computer Science and Information Technology RMIT University Australia

   • http://researchbank.rmit.edu.au/eserv/rmit:6312/Asian.pdf
   • http://www.amazon.com/Effective-Techniques-Indonesian-Text-Retrieval/dp/3639021649

2. Arifin, A.Z., I.P.A.K. Mahendra dan H.T. Ciptaningtyas. 2009. "Enhanced Confix Stripping Stemmer and Ants Algorithm for Classifying News Document in Indonesian Language", Proceeding of International Conference on Information & Communication Technology and Systems (ICTS)

   • http://personal.its.ac.id/files/pub/2623-agusza-baru%2021%20d%20VIP%20enhanced-confix-stripping-stem.pdf

3. A. D. Tahitoe, D. Purwitasari. "Implementasi Modifikasi Enhanced Confix Stripping Stemmer Untuk Bahasa Indonesia dengan Metode Corpus Based Stemming", Institut Teknologi Sepuluh Nopember (ITS) – Surabaya, 60111, Indonesia

   • http://digilib.its.ac.id/public/ITS-Undergraduate-14255-paperpdf.pdf

4. New rules has been added / modified by Andy Librian for sastrawi in order to correctly stem some words:

   • Modified Rule 14 (stem mentaati -> taat)

     From ECS : Rule 14 : men{c|d|j|s|z} -> men-{c|d|j|s|z} To : Rule 14 : men{c|d|j|s|t|z} -> men-{c|d|j|s|t|z}