Award Date

1-1-1993

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

Number of Pages

59

Abstract

The objective of this thesis is to do automatic concept based document classification. Classification or clustering is the process of grouping similar objects together so that they can be effectively retrieved when queried upon. An experimental system that does this concept based document classification is built by a series of steps such as indexing the documents, assigning weights to the keywords, generating the document vectors, building concept lists, generating concept vectors, finding the similarity between the concept and document vectors and classifying the documents under concepts depending on the similarity value. The performance of this experimental system is evaluated against a manual system by measuring precision and recall.

Keywords

Based; Classification; Concept; Text

Controlled Subject

Computer science

File Format

pdf

File Size

1689.6 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

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Identifier

https://doi.org/10.25669/qp3a-ob1j


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