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  • 2019-2023
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  • Other research product . 2019
    Open Access English
    Authors: 
    Xamena, Eduardo; Marmanillo, Walter Gabriel; Mechaca, Ana Lidia;
    Country: Argentina

    Large amounts of ancient documents have become available in the last years, regarding Argentinian history. This fact turns possible to find interesting and useful aggregated information. This work proposes the application of Natural Language Processing, Text Mining and Visualization tools over Argentinian ancient document repositories. Conceptual maps and entity networks make up the first target of this preliminary paper. The first step is the normalization of OCR acquired books of General G¨uemes. Exploratory analyses reveal the presence of manifold spelling errors, due to the OCR acquisition process of the volumes. We propose smart automatic ways for overcoming this issue in the process of normalization. Besides, a first topic landscape of a subset of volumes is obtained and analysed, via Topic Modelling tools. Sociedad Argentina de Informática e Investigación Operativa

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Advanced search in Research products
Research products
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Simple Search
Searching FieldsTerms
Any field
arrow_drop_down
includes
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Include:
The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
1 Research products, page 1 of 1
  • Other research product . 2019
    Open Access English
    Authors: 
    Xamena, Eduardo; Marmanillo, Walter Gabriel; Mechaca, Ana Lidia;
    Country: Argentina

    Large amounts of ancient documents have become available in the last years, regarding Argentinian history. This fact turns possible to find interesting and useful aggregated information. This work proposes the application of Natural Language Processing, Text Mining and Visualization tools over Argentinian ancient document repositories. Conceptual maps and entity networks make up the first target of this preliminary paper. The first step is the normalization of OCR acquired books of General G¨uemes. Exploratory analyses reveal the presence of manifold spelling errors, due to the OCR acquisition process of the volumes. We propose smart automatic ways for overcoming this issue in the process of normalization. Besides, a first topic landscape of a subset of volumes is obtained and analysed, via Topic Modelling tools. Sociedad Argentina de Informática e Investigación Operativa

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