Use of noun phrases in automatic classification of electronic documents

Perspectivas em Ciência da Informação

Souza, Renato Rocha¹  Alarmsoft Tecnologia em Segurança¹  Maia, Luiz Cláudio¹  Escola de Ciência da Informação¹ 

关键词: Text analysis;    Clustering;    Automatic indexing;    Noun phrases;    Natural language processing;   

DOI  :  10.1590/S1413-99362010000100009

学科分类：农业科学（综合）

来源: Universidade Federal de Minas Gerais * Escola de Biblioteconomia

【 摘 要 】

This research work presents a proposal for the classification of electronic documents using techniques and algorithms based on natural language processing and noun phrases indexing along with plain keywords. Two tools, OGMA and Weka, were used for the experiments proposed. OGMA was developed by the author to automate the extraction of noun phrases and to perform the calculation of the weight of each term in the process of document indexing for each of the six proposed methods. The WEKA was used to analyze the OGMA results using the algorithms of clustering and classification "Simplekmeans" and "NaiveBayes", respectively. This process resulted in a percentage value indicating how many documents were classified correctly. The best performing methods were those with the terms without stopwords and the classified and scored noun phrases.

【 授权许可】

Unknown