Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Iyan Mulyana, Aries Maesya

Judul : Affixed Word Classes Identification Through Stemming Process With Porter Stemmer Algorithm
Abstrak :

In the application of information retrieval, stemming is an important process to accelerate indexing and query processes. Besides that, stemming process can also be used to determine the word class of basic or affixed words. This research is aimed at identifying the affixed words class before stemming and the basic word class after stemming. The stemming method applied is porter stemmer method with the steps of deleting the particles, deleting the pronouns, deleting prefix 1, deleting prefix 2, and the last is deleting suffix. The result shows that porter stemming still needs to be added by some other algorithms in order to improve the accuracy of stemming results in Bahasa Indonesia. However, the identification result of word classes both for basic and affixed words still shows 80% of accuracy and is still influenced by the stemming process conducted.

Keyword : information retrieval, stemming, word class, porter, stemmer

Tahun : 2016 Media Publikasi : Prosiding
Kategori : Prosiding No/Vol/Tahun : - / - / 2017
PTN/S : Universitas Pakuan Program Studi : ILMU KOMPUTER
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