Automatiс Recommendation of Video for Online School Lesson Using Neuro-Linguistic Programming

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Abstract

The article describes an approach to automating the matching of video materials to text slides in English classes in an online school by vectorizing slide text and video subtitles using the TF-IDF measure and maximizing the cosine similarity measure of these vector representations.

General Information

Keywords: teaching automation, distance learning, text similarity

Journal rubric: Method of Teaching

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2020100208

For citation: Smirnov D.A., Sologub G.B. Automatiс Recommendation of Video for Online School Lesson Using Neuro-Linguistic Programming. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2020. Vol. 10, no. 2, pp. 102–109. DOI: 10.17759/mda.2020100208. (In Russ., аbstr. in Engl.)

References

  1. Daniel Jurafsky, James H. Martin. Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Second Edition. Pearson Education International, 2009. 1024 pp.
  2. Friedl, John. Regulyarnye vyrazheniya = Regular Expressions. Piter, 2001. 352 pp. ISBN 5–318–00056–8.
  3. Jones K.S. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation. MCB University Press, 2004. Vol. 60, no. 5, pp. 493–502. ISSN 0022–0418.

Information About the Authors

Daniil A. Smirnov, Undergraduate Student of the Institute of Information Technology and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-7092-2612, e-mail: daniil.smirnov2311@yandex.ru

Gleb B. Sologub, Candidate of Science (Physics and Matematics), Associate Professor of the Department of Mathematical Cybernetics of Institute of Information Technologies and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-5657-4826, e-mail: glebsologub@ya.ru

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