Perpustakaan Fakultas Ilmu Komputer

Call Number	SEM - 362
Collection Type	Indeks Artikel prosiding/Sem
Title	The effects of training documents, stemming, and query expansion in automated essay scoring for indonesian languange with VSM and LSA methods ( hal 290 - 295)
Author	Heninggar Septiantri, Indra Budi;
Publisher	Proceedings ICSIIT 2010: International conference on soft computing intelligent system and information technology 1-2 July 2010 Bali Indonesia
Subject	Automed essay scoring system, latent semantic analysis, vector space model, stemming query expansion
Location

Lokasi : Perpustakaan Fakultas Ilmu Komputer

Nomor Panggil	ID Koleksi	Status
SEM - 362		TERSEDIA

Tidak ada review pada koleksi ini: 47906

Research in automated essay scoring system has been done using latent semantic analysis (LSA) method. one of the limitations is the lack of triaining documents to optimize LSA results. regarding such limitation , the use of vector space model (VSM) can be considered this research aims to compare LSA and VSM to score essay answer. experiments are done with 13 problems with 42 test participants. overall results show that average correlation of score between VSM-human is higher than LSA-human.