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A further enhancement of porter 2 stemming algorithm applied in the catalog of PLM Library / Puda, Carleen Jana G. and Tongson, Ella Marie S. 6

By: Puda, Carleen Jana G. and Tongson, Ella Marie S. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; March 2019.46Edition: Description: 28 cm. 80 ppContent type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:

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Action note: In: Summary: ABSTRACT: This study is about the Further Enhancement of Porter 2 Stemming Algorithm Applied in the Catalog of PLM Library. Stemming is a process in which grammatical variations or deviations of a word are mapped to the root word. The researchers would like to apply it to an information retrieval system. Information retrieval is the activity of obtaining information system resources relevant to an information need from a collection. The existing algorithm cannot stem multiple inputs, wrong spelt words, and irregular verbs. The researchers used the following method to solve the problem of the existing algorithm; A. Parsing of Natural Language, B, PHP SpellCheck and C. Rules of Irregular Verbs. When using the method A, the enhanced algorithm is fully utilized and can stem more than one word at time. The enhanced algorithm can determine misspelled words and add suggestions by using the method B. Lastly, the method C allows the enhanced algorithm to consider irregular verbs and stem it correctly. The researchers recommend using the system in the catalog of the PLM library or in the catalog of other university libraries. The researchers also recommend applying the Further Enhanced Porter 2 Stemming Algorithm to other languages such as Filipino language. Other editions:

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Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Filipiniana Section	Filipiniana-Thesis	QA76.9.A43 P83 2019 (Browse shelf)	Available		FT7085

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Undergraduate Thesis: (BSCS major in Computer Science) -Pamantasan ng Lungsod ng Maynila, 2019. 56

ABSTRACT: This study is about the Further Enhancement of Porter 2 Stemming Algorithm Applied in the Catalog of PLM Library. Stemming is a process in which grammatical variations or deviations of a word are mapped to the root word. The researchers would like to apply it to an information retrieval system. Information retrieval is the activity of obtaining information system resources relevant to an information need from a collection. The existing algorithm cannot stem multiple inputs, wrong spelt words, and irregular verbs. The researchers used the following method to solve the problem of the existing algorithm; A. Parsing of Natural Language, B, PHP SpellCheck and C. Rules of Irregular Verbs. When using the method A, the enhanced algorithm is fully utilized and can stem more than one word at time. The enhanced algorithm can determine misspelled words and add suggestions by using the method B. Lastly, the method C allows the enhanced algorithm to consider irregular verbs and stem it correctly. The researchers recommend using the system in the catalog of the PLM library or in the catalog of other university libraries. The researchers also recommend applying the Further Enhanced Porter 2 Stemming Algorithm to other languages such as Filipino language.

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