Document Representation Using Global Association Distance Model

Autor:	José Hernández Palancar, Ansel Y. Rodriguez, Abdel Hechavarría, Jose E. Medina-Pagola
Rok vydání:	2007
Předmět:	GADM Distance model Computer science Vector space model Information processing Graph (abstract data type) Data mining Document representation computer.software_genre Classifier (UML) computer Graph model
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540714941 ECIR
DOI:	10.1007/978-3-540-71496-5_52
Popis:	Text information processing depends critically on the proper representation of documents. Traditional models, like the vector space model, have significant limitations because they do not consider semantic relations amongst terms. In this paper we analyze a document representation using the association graph scheme and present a new approach called Global Association Distance Model (GADM). At the end, we compare GADM using K-NN classifier with the classical vector space model and the association graph model.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5deabe4a046929a5685ff156db6a59f6 https://doi.org/10.1007/978-3-540-71496-5_52 Zobrazit plný text záznamu