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Mining and Using Key-Words and Key-Phrases to Identify the Era of an Anonymous Text

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Transactions on Computational Collective Intelligence XXVI

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 10190))

Abstract

This study is trying to determine the time-frame in which the author of a given document lived. The documents are rabbinic documents written in Hebrew-Aramaic languages. The documents are undated and do not contain a bibliographic section, which leaves us with an interesting challenge. To do this, we define a set of key-phrases and formulate various types of rules: “Iron-clad”, Heuristic and Greedy, to define the time-frame. These rules are based on key-phrases and key-words in the documents of the authors. Identifying the time-frame of an author can help us determine the generation in which specific documents were written, can help in the examination of documents, i.e., to conclude if documents were edited, and can also help us identify an anonymous author. We tested these rules on two corpora containing responsa documents. The results are promising and are better for the larger corpus than for the smaller corpus.

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Notes

  1. 1.

    Contained in the Global Jewish Database (The Responsa Project at Bar-Ilan University). http://www.biu.ac.il/ICJI/Responsa.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Bar-Ilan University, 5290002, Ramat-Gan, Israel

    Dror Mughaz & Dov Gabbay

  2. Department of Computer Science, Lev Academic Center, 9116001, Jerusalem, Israel

    Dror Mughaz & Yaakov HaCohen-Kerner

  3. Department of Informatics, Kings College London, Strand, London, WC2R 2LS, UK

    Dov Gabbay

Authors
  1. Dror Mughaz
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  2. Yaakov HaCohen-Kerner
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  3. Dov Gabbay
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Corresponding author

Correspondence to Dror Mughaz .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Swinburne University of Technology , Hawthorn, South Australia, Australia

    Ryszard Kowalczyk

  3. University of Lisbon , Lisbon, Portugal

    Alexandre Miguel Pinto

  4. Huawei German Research Center, Munich, Germany

    Jorge Cardoso

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Mughaz, D., HaCohen-Kerner, Y., Gabbay, D. (2017). Mining and Using Key-Words and Key-Phrases to Identify the Era of an Anonymous Text. In: Nguyen, N., Kowalczyk, R., Pinto, A., Cardoso, J. (eds) Transactions on Computational Collective Intelligence XXVI. Lecture Notes in Computer Science(), vol 10190. Springer, Cham. https://doi.org/10.1007/978-3-319-59268-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-59268-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59267-1

  • Online ISBN: 978-3-319-59268-8

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