Uso de sintagmas nominais na classificação automática de documentos eletrônicos

• Ano de defesa: 2008
• Autor(a) principal: Luiz Claudio Gomes Maia
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: automática; Indexação; Sintagmas nominas; Análise de texto; Agrupamento automático de documentos; Indexação automatica; Ciência da informação; Sistemas de recuperação da informação; Processamento da linguagem natural (Computação)
• Link de acesso: http://hdl.handle.net/1843/ECID-7NXJKZ

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 termin 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 bestperforming methods were those with the terms without stopwords and the classified and scored noun phrases.