Identifying long tail term from large-scale candidate pairs for big data-oriented patent analysis-Reference-Cited by-同舟云学术

Identifying long tail term from large-scale candidate pairs for big data-oriented patent analysis

Published:2016-04-07 Issue:15 Volume:28 Page:4194-4208
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Qu Peng¹,Zhang Junsheng¹,Yao Changqing¹,Zeng Wen¹

Affiliation:

1. Institute of Scientific and Technical Information of China; 15 Fuxing Rd Beijing 100038 China

Funder

National Natural Science Foundation of China

International Science & Technology Cooperation Program of China

ISTIC Research Project

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

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4. Yang Y Lu Q Zhao T Chinese term extraction using minimal resources Proceedings of the 22nd International Conference on Computational Linguistics (COLING'08) Stroudsburg: Association for Computational Linguistics Manchster, UK 2008 1033 1040

5. Keyword extraction from a single document using word co-occurrence statistical information;Matsuo;International Journal on Artificial Intelligence Tools,2004

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