Pembangunan Synonym Set untuk WordNet Bahasa Indonesia Menggunakan Metode Komutatif dan Hierarchical Clustering

VALENTINO ROSSI FIERDAUS

Informasi Dasar

112 kali
20.04.4312
006.312
Karya Ilmiah - Skripsi (S1) - Reference

WordNet is a compilation of Synonyms Set (synset), which consists of the words that have the same synonymous. The development of Indonesian WordNet has a goal to build an application that can accommodate and exhibit the relation of words. Synonym Set is a set composed of one or more words that have a similar meaning or synonym relation originated from the Indonesian Thesaurus. In previous studies, the establishment of synsets were transmitted with several approaches, one of which was the cluster ring to produce synsets and WSD (Word Sense Disambiguation). In this research, research is held up to discover the semantic similarities between words in the Indonesian Thesaurus automatically, and also to know the performance of the Agglomerative Hierarchical Clustering method for the development of Indonesian synsets. To calculate performance and evaluation, this research is using the F-measure method involving the gold standard.

Subjek

Data mining-clustering analysis
 

Katalog

Pembangunan Synonym Set untuk WordNet Bahasa Indonesia Menggunakan Metode Komutatif dan Hierarchical Clustering
 
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Pengarang

VALENTINO ROSSI FIERDAUS
Perorangan
MOCH ARIF BIJAKSANA, WIDI ASTUTI
 

Penerbit

Universitas Telkom, S1 Akuntansi
Bandung
2020

Koleksi

Kompetensi

 

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