Concept-based text classification

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.

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor dc:publisher

University of Nevada, Las Vegas

Year

1993

Author dc:creator

• Adloori, Shanthi Kumar

Statement dc:rights

• IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Language dc:language

English

Identifier

https://oasis.library.unlv.edu/rtds/296

OAI identifier oai:identifier

oai:oasis.library.unlv.edu:rtds-1295