Analysis of extraction of descriptors as noun phrases through the OGMA software
DOI:
https://doi.org/10.5007/1518-2924.2017v22n50p44Keywords:
Automatic indexing, Noun Phrases, Keywords, Theses and dissertations, OGMA softwareAbstract
This work investigates automatic indexing by noun phrases of documents containing title and abstract of 30 theses and dissertations written in Portuguese and of three different areas of knowledge. The research method is exploratory and based on literature review and an experiment. The experiment consisted of the OGMA software output analysis for the document corpus and the measurement of the level of recall of keywords present in the documents. It shows a descriptive profile of the sequences of grammatical labels for keywords present extracted and not extracted as noun phrases. It is concluded that 68% of the totality of keywords informed by the authors were in the title or abstract of the thesis or dissertations, of these 66% were extracted as noun phrases, which corresponds to the recall level of keywords present reached by OGMA software. Keywords present and not extracted had mainly nouns or adjectives labeled with incorrect grammatical category by the software. Keywords present and extracted were mostly single nouns (30%), noun-adjective pair (28%) and noun-preposition-noun trigram (19%). The OGMA obtained a good level of recall of keywords present, and this level can increases in almost 34% with adjustments in the part-of-speech tagger.
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CORRÊA, Renato Fernandes; LAPA, Remi Correa; Panorama de estudos sobre indexação automática no âmbito da ciência da informação no Brasil (1973-2012). Ciência da Informação, Brasília, DF, v. 42 n. 2, p.255-273, maio/ago., 2013.
CORRÊA, Renato Fernandes; MIRANDA, Darliane Goes de; LIMA, Camila Oliveira de Almeida; SILVA, Tiago José da. Indexação e recuperação de teses e dissertações por meio de sintagmas nominais. AtoZ: Novas Práticas em Informação e Conhecimento, Curitiba, v. 1, n. 1, p. 11-22, 2011.
KURAMOTO, Hélio. Sintagmas nominais: uma nova proposta para a recuperação de informação. DataGramaZero, Rio de Janeiro, v. 3, n. 1, fev. 2002.
MAIA, Luiz Cláudio Gomes. Uso de sintagmas nominais na classificação automática de documentos eletrônicos. 2008. Tese (Doutorado em Ciência da Informação) – Universidade Federal de Minas Gerais – UFMG. Belo Horizonte, 2008.
MAIA, Luiz Cláudio Gomes; SOUZA, Renato Rocha. Uso de sintagmas nominais na classificação automática de documentos eletrônicos. Perspectivas em Ciência da Informação, v. 15, n. 1, jan./abr., 2010.
ROBREDO, Jaime. Otimização dos processos de indexação dos documentos e de recuperação da informação mediante o uso de instrumentos de controle terminológico. Ciência da Informação. Inf., Brasília, v. 11, n. 1, 1982.
SILVA, Tiago José da. Indexação automática por meio da extração e seleção de sintagmas nominais em textos em língua portuguesa. 2014, 144 f. Dissertação (Mestrado) – Mestrado em Ciência da Informação, Universidade Federal de Pernambuco, Recife-PE, 2014.
SILVA, T. J. da; CORREA, R. F. Ferramentas Para Indexação Automática: uma análise comparativa entre o OGMA, Parser PALAVRAS, LX-Parser e a extração manual de sintagmas nominais. In.: XVI Encontro Nacional de Pesquisa em Pós-Graduação em Ciência da Informação, 2015, João Pessoa. Anais do XVI Encontro Nacional de Pesquisa em Pós-Graduação em Ciência da Informação. João Pessoa: PPGCI/UFPB, 2015. p. 1-20.
SOUZA, Renato Rocha; RAGHAVAN, K. S. A extração de palavras-chave a partir de textos: um estudo exploratório utilizando sintagmas. Informação & Tecnologia (ITEC): Marília / João Pessoa, 1 (1):5-16, jan/jun, 2014.
SOUZA, R. R. Uma proposta de metodologia para indexação automática utilizando sintagmas nominais. Encontros Bibli: Revista Eletrônica de Biblioteconomia e Ciência da Informação, v. 11, n. esp., p. 42-59, 2006.
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