Analytical Method for Social Network User Profile Textual Content Monitoring Based on the Key Performance Indicators of the Web Page and Posts Analysis

Autor(en): Vysotska, V.
Herausgeber: Lytvyn, V.
Sharonova, N.
Jonek-Kowalska, I.
Kowalska-Styczen, A.
Vysotska, V.
Kupriianov, Y.
Kanishcheva, O.
Cherednichenko, O.
Hamon, T.
Grabar, N.
Stichwörter: Benchmarking; Blogs; business process; Content; content life cycle; content management system; E- commerces; e-commerce; Electronic commerce; Internet blog; Internet forum; Internet forums; page conversion; Search engines; social network; Social networking (online); Social sciences computing; text content; User profile, Business Process; Web resource; Web resources, Life cycle
Erscheinungsdatum: 2022
Herausgeber: CEUR-WS
Journal: CEUR Workshop Proceedings
Volumen: 3171
Startseite: 1380
Seitenende: 1402
Zusammenfassung: 
The article considers the development of methods and software for processing web pages and user messages in social networks, blogs, or forums. A method of textual content support based on analysing information about the comments from web pages of social network users is proposed. This method is built on the principles of web analytics and uses analytical data to evaluate web resources. The analytical method of text content support uses the analysis of key performance indicators to form many keywords to increase the potential audience of the blog or e-commerce sites. Software tools for technical support of textual content have been developed. A method of designing and implementing systems for monitoring textual content of Internet blogs and Internet forums, which reflect theoretical research results was proposed. From the standpoint of a systemic approach, propose the application of the principles of web resources processing for the implementation of the life cycle of textual content, which allowed to develop of a method of content support. The main problems of functional services for managing a web page or profile of users of social networks, blogs, and forums for their further promotion in search engines and attracting a potential/permanent audience are analyzed. © 2022 Copyright for this paper by its authors.
Beschreibung: 
Conference of 6th International Conference on Computational Linguistics and Intelligent Systems, COLINS 2022 - Volume I: Main ; Conference Date: 12 May 2022 Through 13 May 2022; Conference Code:180931
ISSN: 1613-0073
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134780039&partnerID=40&md5=b49771f74d04707e510b66997d1f9ed8

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