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2021 ◽  
Vol 24 (5) ◽  
pp. 870-888
Author(s):  
Александр Сергеевич Козицын ◽  
Сергей Александрович Афонин

The use of modern methods of thematic analysis for the analytical processing of information is currently used in almost all areas of human activity, including scientometrics. Many scientometric and citation systems, including the world famous WoS, Scopus, Google Shcolar, develop thematic categories for searching and processing information. Most important tasks that can be solved using thematic classification methods are: assessment of the dynamics of the development of thematic areas in the organization, country and in world science; search for articles on a given topic; search and assessment of the authority of experts; search for journal for publication and other relevant tasks. The Lomonosov Moscow State University is currently developing and using the system ISTINA. In this project, algorithms have been created that solve some of the problems listed. Scientific research is underway to create new effective mathematical models and algorithms in this area.


2021 ◽  
Vol 24 (5) ◽  
pp. 879-888
Author(s):  
Александр Сергеевич Козицын ◽  
Сергей Александрович Афонин

The use of modern methods of thematic analysis for the analytical processing of information is currently used in almost all areas of human activity, including scientometrics. Many scientometric and citation systems, including the world famous WoS, Scopus, Google Shcolar, develop thematic categories for searching and processing information. Most important tasks that can be solved using thematic classification methods are: assessment of the dynamics of the development of thematic areas in the organization, country and in world science; search for articles on a given topic; search and assessment of the authority of experts; search for journal for publication and other relevant tasks. The Lomonosov Moscow State University is currently developing and using the system ISTINA. In this project, algorithms have been created that solve some of the problems listed. Scientific research is underway to create new effective mathematical models and algorithms in this area.


2021 ◽  
Vol 8 (04) ◽  
Author(s):  
Lauren H. Williams ◽  
Ann J. Carrigan ◽  
Megan Mills ◽  
William F. Auffermann ◽  
Anina N. Rich ◽  
...  

2021 ◽  
Author(s):  
Weiling Wu ◽  
Owen Tan ◽  
Kwok-Fong Chan ◽  
Nicole Ong ◽  
David Gunasegaran ◽  
...  

Finding experts in any field can be difficult, especially when relying on academic publications given the use of jargons despite publication lists being publicly available. Within the use of publications, discernment of expertise by authorship positions is often absent in the many pub-lication-based expert search platforms available which could function as another discernment filter of expertise. Given that it is common in many academic fields for the research group lead or lab heads to take the position of the last author, the existing authorship scoring systems that assign a decreasing weightage from the first author would not reflect the last author correctly. To address these mentioned problems, we incorporated natural language processing (Common Crawl using fastText) to identify related keywords for a search compatible to using jargons as well as an au-thorship positional scoring with the option to provide greater weightage to the last author. The resulting output is a ranked scoring system of researchers upon every search which we imple-mented as a webserver for internal agency use called ‘APD lab Capability & Expertise Search (ACES)’ webserver which can be accessed from webserver.apdskeg.com/aces.


2021 ◽  
Author(s):  
Alexander Serggevich Kozitsin ◽  
Sergey Alexandrovich Afonin ◽  
Dmitry Alexeevich Shachnev

The use of modern methods of thematic analysis for the analytical processing of information is currently used in almost all areas of human activity, including scientometrics. Many scientometric and citation systems, including the world famous WoS, Scopus, Google Shcolar, develop thematic categories for searching and processing information. Most important tasks that can be solved using thematic classification methods are: assessment of the dynamics of the development of thematic areas in the organization, country and in world science; search for articles on a given topic; search and assessment of the authority of experts; search for journal for publication and other relevant tasks. The Lomonosov Moscow State University is currently developing and using the system ISTINA. In this project, algorithms have been created that solve some of the problems listed. Scientific research is underway to create new effective mathematical models and algorithms in this area.


Author(s):  
Denis Zubarev ◽  
Dmitry Devyatkin ◽  
Ilya Sochenkov ◽  
Ilya Tikhomirov ◽  
Oleg Grigoriev
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