Content Monitoring Method for Cut Formation of Person Psychological State in Social Scoring

Liliya Chyrun · Yaroslav Kis · Victoria Vysotska · Lyubomyr Chyrun

28 citations0/0 files storedIEEE International Conference on Computer Sciences and Information Technologies (CSIT)

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Computational and Text Analysis Methods Sentiment Analysis and Opinion Mining Information Retrieval and Data Mining

Abstract

Content monitoring is a process for an automated identification of important linguistic components in the Web content stream. This is semantic analysis of content streams with the purpose of obtaining the necessary qualitative/quantitative insights for an undefined period. The key constituent parts of content monitoring are content search and text content analysis. Content analysis is designed to search for relevant information in a set of content using linguistic semantic units. This unit of account is a quantitative measure of the analysis unit that allows recording the specific analysis criteria appearance frequency in the text (quantity of characters, lines, paragraphs, pages, copyright sheets, certain words or word combinations, text amount, etc.). The content analysis use in monitoring Internet information sources automates the process of finding the most important components in Web content streams while selecting data from these sources. This eliminates the information pollution, redundant results of content reservation, duplicate content, and more. This method is used in subsequent stages of semantic analysis for producing accurate results to further facilitate creation of unique content that is in demand. Based content monitoring content monitoring method for cut formation of person psychological state in social scoring is developed.

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2013Private traits and attributes are predictable from digital records of human behavior 2013Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach 2007Analysis and Evaluation of Risks in Electronic Commerce 2015Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis

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2019Technology for the Psychological Portraits Formation of Social Networks Users for the IT Specialists Recruitment Based on Big Five, NLP and Big Data Analysis.2021The Content Analysis Method for the Information Resources Formation in Electronic Content Commerce Systems.

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