Date of Publication

3-2012

Document Type

Master's Thesis

Degree Name

Master in Computer Science

Subject Categories

Computer Sciences | Software Engineering

College

College of Computer Studies

Department/Unit

Software Technology

Thesis Adviser

Rachel Editha Roxas

Defense Panel Chair

Nathalie Rose Lim-Cheng

Defense Panel Member

Allan Borra
Rachel Editha Roxas

Abstract/Summary

In this study the researcher developed a system that will recognize named entities in Filipino texts. A handcrafted rule based on the Filipino pattern was constructed and was used for recognizing the entities. A gazetteer list also was used to help recognizing the named entities in the text. The recognizer was tested in different types of text, formal and informal. The system was evaluated through Precision, Recall and F-measure. An Error Rate was considered as well in analyzing the performance of the recognizer. The result of the systems evaluation was considered acceptable.

Abstract Format

html

Language

English

Format

Electronic

Electronic File Format

MS WORD

Accession Number

CDTG005148

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

1 computer optical disc. ; 4 3/4 in.

Keywords

Discourse analysis

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