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

Autor: G.B. Sologub, D.A. Smirnov
Rok vydání: 2020
Předmět:
Zdroj: Моделирование и анализ данных. 10:102-109
ISSN: 2311-9454
2219-3758
DOI: 10.17759/mda.2020100208
Popis: 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.
Databáze: OpenAIRE