Analysis on the use of Latent Semantic Indexing (LSI) for document classification and retrieval system of PNP files

Angelica M Aquino,Enrico P Chavez

doi:10.1051/matecconf/201818903009

Angelica M Aquino, Enrico P Chavez

Open Access

https://doi.org/10.1051/matecconf/201818903009

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Abstract

Document classification is the process of categorizing documents from many mixed files automatically [1]. In this paper, an approach to classification of documents for admin-case files of Philippine National Police (PNP) using Latent Semantic Indexing (LSI) method is proposed. The model for this that represents term-to-term, document-todocument and term-to-document relationships has been applied. Regular Expression is implemented also to define a search pattern based on character strings which the LSI used to establish the semantic relevance of the character strings to the search term or keyword. The aim of the study is to evaluate the performance of LSI in classifying PNP documents; experimentation was done using software to test the capability of LSI towards text retrieval. Indexing is according to the pattern matched in the collection of text that uses model of SVD. Based on tests, documents were indexed based on file relationships and was able to return a search result as the retrieved information from PNP files. Weights are used to check the accuracy of the method; the positive values identified in query similarity are regarded as the most relevant among the related searches, meaning, the query word matches words in a text file and it returns a query result.

Highlights

It is necessary for software to have the ability to classify file before it will be stored
Given a sample query, name of case was used as keyword/s and the result of search is written in the query result.For instance, the query_in.txt file contains AWOL as the searched keyword, and the quey_out.txt will have the listing of Philippine National Police (PNP) files as the search results that matches the keyword AWOL
Based on the experiment done, Latent Semantic Indexing (LSI) with SVD is capable of performing document indexing and retrieval for an information given

Summary

Introduction

It is necessary for software to have the ability to classify file before it will be stored. By applying a technique in classifying documents for retrieval purposes, documents can be searched systematically and LSI is the suggested method to perform document classification and retrieval system. It is important to consider a technique for classifying and storing files, because having an intelligent system of a file storing would definitely help an organization to handle documents without suffering the confidentiality of the information. With the need of PNP to handle efficiently the documents for admin-case information, a classification technique for documents shall be implemented. To resolve the dilemma of an incorrect result of searching, a technique for document retrieval is proposed

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