Mining and using key-words and key-phrases to identify the era of an anonymous text

Dror Mughaz; Yaakov Hacohen-Kerner; Dov Gabbay

doi:10.1007/978-3-319-59268-8_6

Mining and using key-words and key-phrases to identify the era of an anonymous text

Dror Mughaz, Yaakov Hacohen-Kerner, Dov Gabbay

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Ngoc Thanh Nguyen, Ryszard Kowalczyk, Alexandre Miguel Pinto, Jorge Cardoso, Jorge Cardoso
Publisher	Springer Verlag
Pages	119-143
Number of pages	25
ISBN (Print)	9783319592671
DOIs	https://doi.org/10.1007/978-3-319-59268-8_6
State	Published - 2017
Event	1st International KEYSTONE Conference, IKC 2015 - Coimbra, Portugal Duration: 8 Sep 2015 → 9 Sep 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10190
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International KEYSTONE Conference, IKC 2015
Country/Territory	Portugal
City	Coimbra
Period	8/09/15 → 9/09/15

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Keywords

Hebrew-Aramaic documents
Key-phrases
Key-words Knowledge discovery
Text mining
Time analysis
Undated documents Undated references

Access to Document

10.1007/978-3-319-59268-8_6

Cite this

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 N. T. Nguyen, R. Kowalczyk, A. M. Pinto, J. Cardoso, & J. Cardoso (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 119-143). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10190). Springer Verlag. https://doi.org/10.1007/978-3-319-59268-8_6

Mughaz, Dror ; Hacohen-Kerner, Yaakov ; Gabbay, Dov. / Mining and using key-words and key-phrases to identify the era of an anonymous text. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Ngoc Thanh Nguyen ; Ryszard Kowalczyk ; Alexandre Miguel Pinto ; Jorge Cardoso ; Jorge Cardoso. Springer Verlag, 2017. pp. 119-143 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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 NT Nguyen, R Kowalczyk, AM Pinto, J Cardoso & J Cardoso (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10190, Springer Verlag, pp. 119-143, 1st International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, 8/09/15. https://doi.org/10.1007/978-3-319-59268-8_6

Mining and using key-words and key-phrases to identify the era of an anonymous text. / Mughaz, Dror; Hacohen-Kerner, Yaakov; Gabbay, Dov.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Ngoc Thanh Nguyen; Ryszard Kowalczyk; Alexandre Miguel Pinto; Jorge Cardoso; Jorge Cardoso. Springer Verlag, 2017. p. 119-143 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10190).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hacohen-Kerner, Yaakov

AU - Gabbay, Dov

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N2 - 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.

AB - 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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KW - Time analysis

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Mughaz D, Hacohen-Kerner Y, Gabbay D. Mining and using key-words and key-phrases to identify the era of an anonymous text. In Nguyen NT, Kowalczyk R, Pinto AM, Cardoso J, Cardoso J, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017. p. 119-143. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-59268-8_6

Mining and using key-words and key-phrases to identify the era of an anonymous text

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