Pembangunan Synonym Set untuk WordNet Bahasa Indonesia Menggunakan Metode Komutatif dan Hierarchical Clustering
VALENTINO ROSSI FIERDAUS
Informasi Umum
Kode
20.04.4312
Klasifikasi
006.312 - Data mining
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Data Mining-clustering Analysis
Dilihat
68 kali
Informasi Lainnya
Abstraksi
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.
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Pengarang
| Nama | VALENTINO ROSSI FIERDAUS |
| Jenis | Perorangan |
| Penyunting | MOCH ARIF BIJAKSANA, WIDI ASTUTI |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Akuntansi |
| Kota | Bandung |
| Tahun | 2020 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
