Establishing Semantic Similarity of the Cluster Documents and Extracting Key Entities in the Problem of the Semantic Analysis of News Texts-Reference-Cited by-同舟云学术

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Establishing Semantic Similarity of the Cluster Documents and Extracting Key Entities in the Problem of the Semantic Analysis of News Texts

Published:2015-04-07 Issue:5 Volume:9 Page:
ISSN:1913-1852
Container-title:Modern Applied Science
language:
Short-container-title:MAS

Author:

Soloshenko Anastasia Nikolaevna,Orlova Yulia Aleksandrovna,Rozaliev Vladimir Leonidovich,Zaboleeva-Zotova Alla Viktorovna

Publisher

Canadian Center of Science and Education

Subject

Multidisciplinary

Cited by 4 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. Analysis of web data classification methods based on semantic similarity measure;Information Security Journal: A Global Perspective;2022-06-03

2. Determining Of Semantically Close Texts Of Stock Market News Using Natural Language Processing;2021 International Conference on Electrical, Computer and Energy Technologies (ICECET);2021-12-09

3. Recognition of a person named entity from the text written in a natural language;Journal of Physics: Conference Series;2017-01

4. Automated Mind Map Generation from News Texts Based on Link Grammar;Communications in Computer and Information Science;2015

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