THE SIXTH INTERNATIONAL CONFERENCE ON FORENSIC COMPUTER SCIENCE
Print ISBN 978-85-65069-07-6 - Online ISBN 978-85-65069-05-2, pp 7-15
DOI: 10.5769/C2011001 and http://dx.doi.org/10.5769/C2011001
Uma Análise do Reconhecimento Textual de Nomes de Pessoas e Organizações na Computação Forense
By Osvaldo Dalben Junior, and Daniela Barreiro Claro
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Named entity recognition (NER) is a task in Information Extraction (IE) domain that aims to identify and classify entities (names, organizations, locations, etc.) inside unstructured text. This paper proposes to analyze NER applications in computer forensics area, especially in tasks related to seized media. Our experiments show that NER algorithms can minimize the time spent on analyzing of seized media and also revelate informations about names and organizations contained in these media.
Named entity recognition; NER; computer forensics.
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