loformation Retrieval - using Porter Stemming Algorithm

Zulkifly, Zurida Azita (2006) loformation Retrieval - using Porter Stemming Algorithm. [Final Year Project] (Unpublished)

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Stemming is a process of removing or transforming endings (suffixes) when they are
found on a word; inflectional endings (-s, -ing, -ed, etc) and derivational endings (-ion, -
ative, -ity, -ment, -less, etc) and prefixes (un-, in-, etc). The rationale for using
stemming is that similar words usually have similar meanings, so including words that
are similar in meaning to those originally contained within it will increased the retrieval
process effectiveness. There are many stemming method that have been developed.
However, the main focus of this project is on Porter Stemming Algorithm which has
been developed by M.F Porter in 1980. The objective of this project is to develop a
system that will demonstrate the information retrieval using Porter Stemming
Algorithm. Problem with information retrieval is to get document that relevant to users
query. To measure the performance, there are two measurement, which are precision
and recall. The scope of the project is to implement the original Porter Stemming
Algorithm in the application to improved the precision and recall in the retrieving
document process. Even though there are many improvements have been made to the
Porter Algorithm, we will focus on the original algorithm in this project. The Porter
Stemming algorithm had five phases, which in every phase have it owns rules to
stripping the suffixes. By implementing the algorithm, it is expected from the
application to retrieve only documents that relevant to the users query.

Item Type: Final Year Project
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 27 Sep 2013 12:18
Last Modified: 27 Jul 2021 15:46
URI: http://utpedia.utp.edu.my/id/eprint/7082

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