System of Automated Text Messages Clustering by Semantic Proximity Based on NLP and Machine Learning Methods
Keywords: Text message clustering, semantic proximity, machine learning
Article no: 3
Pages 19-30
Keywords: Text message clustering, semantic proximity, machine learning
Article no: 3
Pages 19-30
Keywords: Student attitudes towards study, semantic differential, students personality characteristics, attitudes formation, attitudes determinants
Article no: 6
Pages 48-60
Keywords: Emergence field, fuzzy sets, linguistic concept "coronavirus", research model, semantic field
Article no: 9
Pages 59-66
Keywords: Functions of hypertext links, hypertext link, link text, online newspaper, semantic types of hypertext links
Article no: 43
Pages 321-327
Keywords: Psychological state, reflection, regulation, value, semantic.
Article no: 68
Pages 522-529
Keywords: Students’ attitudes, health; lifestyle, semantic differential, factor analysis, ANOVA, t-test
Article no: 10
Pages 84-95
Keywords: Behavioral finance, heuristic, PLS-SEM, stock market, Saudi Arabia, speculative behavior
Article no: 65
Pages 604-618
Keywords: Discursive markers, inter-personal relations between journalist and reader, pragmatics, semantics, text of analytical reporting
Article no: 141
Pages 1109-1116
Keywords: Agile management, digital economy, e-communication, innovation semantics.
Article no: 194
Pages 1832-1842
Keywords: Emotional intelligence, strategic decision making, PLS-SEM, government link companies
Article no: 55
Pages 510-518