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_aPuda, Carleen Jana G. and Tongson, Ella Marie S.
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_aA further enhancement of porter 2 stemming algorithm applied in the catalog of PLM Library /
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_cPuda, Carleen Jana G. and Tongson, Ella Marie S.
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_cMarch 2019.46
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_a80 pp.
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_atext
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_aunmediated
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_aUndergraduate Thesis: (BSCS major in Computer Science) -Pamantasan ng Lungsod ng Maynila, 2019.
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_aABSTRACT: 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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