Publication:
Sentiment Analysis Model Based on the Word Structural Representation

Дата
2021
Авторы
Yergesh, B.
Bekmanova, G.
Sharipbay, A.
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
OrgUnit Logo
Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 2021, Springer Nature Switzerland AG.Over the past year, distance learning has become an integral part of our lives and a rapidly developing field. Compared to traditional classroom learning, online learning has advantages such as no place restrictions and a wide range of interactions. At the same time, distance learning lacks interaction between teachers and learners, and teachers cannot observe learners face to face. Identifying students’ emotions during distance learning can have a positive impact on learning, improve learning outcomes and improve the effectiveness, quality of learning. This paper describes a theoretical model for determining sentiment/emotion from audio data based on speech recognition. The recognition model based on generalized transcription was proposed. This method can be used to determine the student’s emotions during the distance learning and online exam.
Описание
Ключевые слова
Цитирование
Yergesh, B. Sentiment Analysis Model Based on the Word Structural Representation / Yergesh, B., Bekmanova, G., Sharipbay, A. // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2021. - 12960 LNAI. - P. 170-178. - 10.1007/978-3-030-86993-9_16
URI
https://www.doi.org/10.1007/978-3-030-86993-9_16
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85115854100&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000768819800016
 https://openrepository.mephi.ru/handle/123456789/24736
Коллекции
Публикации