PAKE: a supervised approach for Persian automatic keyword extraction using statistical features

Author:

Lazemi Soghra,Ebrahimpour-Komleh Hossein,Noroozi Nasser

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Environmental Science,General Materials Science,General Chemical Engineering

Reference20 articles.

1. Lee D-Y, Kim K-R, Cho H-G (2016) A new extraction algorithm for hierarchical keyword using text social network. In: Kim KJ, Joukov N (eds) Information science and applications. Springer, Singapore, pp 903–912

2. Matsuo Y, Ishizuka M (2004) Keyword extraction from a single document using word co-occurrence statistical information. Int J Artif Intell Tools 13(01):157–169

3. Siddiqi S, Sharan A (2015) Keyword and keyphrase extraction techniques: a literature review. Int J Comput Appl 109(2):18–23

4. Schwartz B (2016) Google’s search knows about over 130 trillion pages. https://searchengineland.com/googles-search-indexes-hits-130-trillion-pages-documents-263378

5. Usage of content languages for websites (2017) [cited 2017 13 November]. https://w3techs.com/technologies/overview/content_language/all

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Combining statistical, structural, and linguistic features for keyword extraction from web pages;Applied Computing and Intelligence;2022

2. WebRank: Language-Independent Extraction of Keywords from Webpages;2021 IEEE International Conference on Progress in Informatics and Computing (PIC);2021-12-17

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