New approaches for extracting Arabic keyphrases

Mahmoud Nabil; Amir F. Atiya; Mohamed Aly

doi:10.1109/ACLing.2015.26

New approaches for extracting Arabic keyphrases

Mahmoud Nabil, Amir F. Atiya, Mohamed Aly

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

5 Scopus citations

Abstract

Keyphrases extraction has a considerable importance in many applications such as search engine optimization, clustering, summarization, and sentiment analysis. The importance of keyphrases comes from the semantic meaning they provide as they can be used as descriptors for the documents. In this paper we compare four approaches for extracting keyphrases from Arabic documents. The first method uses the KP-Miner keyphrase extraction system. The second method uses Arabic natural language processing tools (stemmer and part of speech tagger) in order to filter some patterns that can be weighted by token frequency inverse document frequency (TF-IDF) algorithm. The third method uses Google'sWord2Vec library to calculate the weighting of the resulting patterns by measuring the similarity of the candidate pattern and the document title. The fourth method combines the weightings result from the second and the third method.

Original language	English (US)
Title of host publication	Proceedings - 1st International Conference on Arabic Computational Linguistics
Subtitle of host publication	Advances in Arabic Computational Linguistics, ACLing 2015
Editors	Alexander Gelbukh, Khaled Shaalan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	133-137
Number of pages	5
ISBN (Electronic)	9781467391559
DOIs	https://doi.org/10.1109/ACLing.2015.26
State	Published - Feb 29 2016
Event	1st International Conference on Arabic Computational Linguistics, ACLing 2015 - Cairo, Egypt Duration: Apr 17 2015 → Apr 20 2015

Publication series

Name	Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015

Other

Other	1st International Conference on Arabic Computational Linguistics, ACLing 2015
Country/Territory	Egypt
City	Cairo
Period	04/17/15 → 04/20/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Keyphrases extraction
POS tagging
Stemming

ASJC Scopus subject areas

Computer Science Applications
Signal Processing
Linguistics and Language

Access to Document

10.1109/ACLing.2015.26

Cite this

Nabil, M., Atiya, A. F., & Aly, M. (2016). New approaches for extracting Arabic keyphrases. In A. Gelbukh, & K. Shaalan (Eds.), Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015 (pp. 133-137). Article 7422291 (Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACLing.2015.26

Nabil, Mahmoud ; Atiya, Amir F. ; Aly, Mohamed. / New approaches for extracting Arabic keyphrases. Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015. editor / Alexander Gelbukh ; Khaled Shaalan. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 133-137 (Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015).

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title = "New approaches for extracting Arabic keyphrases",

abstract = "Keyphrases extraction has a considerable importance in many applications such as search engine optimization, clustering, summarization, and sentiment analysis. The importance of keyphrases comes from the semantic meaning they provide as they can be used as descriptors for the documents. In this paper we compare four approaches for extracting keyphrases from Arabic documents. The first method uses the KP-Miner keyphrase extraction system. The second method uses Arabic natural language processing tools (stemmer and part of speech tagger) in order to filter some patterns that can be weighted by token frequency inverse document frequency (TF-IDF) algorithm. The third method uses Google'sWord2Vec library to calculate the weighting of the resulting patterns by measuring the similarity of the candidate pattern and the document title. The fourth method combines the weightings result from the second and the third method.",

keywords = "Keyphrases extraction, POS tagging, Stemming",

author = "Mahmoud Nabil and Atiya, {Amir F.} and Mohamed Aly",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 1st International Conference on Arabic Computational Linguistics, ACLing 2015 ; Conference date: 17-04-2015 Through 20-04-2015",

year = "2016",

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Nabil, M, Atiya, AF & Aly, M 2016, New approaches for extracting Arabic keyphrases. in A Gelbukh & K Shaalan (eds), Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015., 7422291, Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015, Institute of Electrical and Electronics Engineers Inc., pp. 133-137, 1st International Conference on Arabic Computational Linguistics, ACLing 2015, Cairo, Egypt, 04/17/15. https://doi.org/10.1109/ACLing.2015.26

New approaches for extracting Arabic keyphrases. / Nabil, Mahmoud; Atiya, Amir F.; Aly, Mohamed.
Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015. ed. / Alexander Gelbukh; Khaled Shaalan. Institute of Electrical and Electronics Engineers Inc., 2016. p. 133-137 7422291 (Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015).

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

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N2 - Keyphrases extraction has a considerable importance in many applications such as search engine optimization, clustering, summarization, and sentiment analysis. The importance of keyphrases comes from the semantic meaning they provide as they can be used as descriptors for the documents. In this paper we compare four approaches for extracting keyphrases from Arabic documents. The first method uses the KP-Miner keyphrase extraction system. The second method uses Arabic natural language processing tools (stemmer and part of speech tagger) in order to filter some patterns that can be weighted by token frequency inverse document frequency (TF-IDF) algorithm. The third method uses Google'sWord2Vec library to calculate the weighting of the resulting patterns by measuring the similarity of the candidate pattern and the document title. The fourth method combines the weightings result from the second and the third method.

AB - Keyphrases extraction has a considerable importance in many applications such as search engine optimization, clustering, summarization, and sentiment analysis. The importance of keyphrases comes from the semantic meaning they provide as they can be used as descriptors for the documents. In this paper we compare four approaches for extracting keyphrases from Arabic documents. The first method uses the KP-Miner keyphrase extraction system. The second method uses Arabic natural language processing tools (stemmer and part of speech tagger) in order to filter some patterns that can be weighted by token frequency inverse document frequency (TF-IDF) algorithm. The third method uses Google'sWord2Vec library to calculate the weighting of the resulting patterns by measuring the similarity of the candidate pattern and the document title. The fourth method combines the weightings result from the second and the third method.

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Nabil M, Atiya AF, Aly M. New approaches for extracting Arabic keyphrases. In Gelbukh A, Shaalan K, editors, Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 133-137. 7422291. (Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015). doi: 10.1109/ACLing.2015.26

New approaches for extracting Arabic keyphrases

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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