Казанский (Приволжский) федеральный университет, КФУ
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SENTIMENT IN ACADEMIC TEXTS
Форма представленияСтатьи в зарубежных журналах и сборниках
Год публикации2019
Языканглийский
  • Гафиятова Эльзара Василовна, автор
  • Солнышкина Марина Ивановна, автор
  • Соловьев Валерий Дмитриевич, автор
  • Библиографическое описание на языке оригинала Solovyev Valery, Solnyshkina Marina, Gafiyatova Elzara, Batyrshin Ildar. Sentiment in Academic Texts//Proceedings of the 24th Conference of Open Innovations Association (FRUCT). - 2019. - Vol., Is.. - P.408-414.
    Аннотация The problem of sentiment analysis has been widely studied in the past decades. The research in the area was predominantly based on the data received from online messages, microblogs, reviews, etc. Significantly fewer studies were conducted based on academic discourse and especially school textbooks. However, sentiment analysis of academic texts can help answer pressing issues relating the ways different referents are presented in contemporary Russian school textbooks. In this paper we analyze distribution of sentiment words and phrases in the Corpus of Russian school textbooks on History (Grades 10–11) and Social Sciences (Grades 5 – 11). The results of the study convincingly demonstrate that the discourses of (1) History textbooks used in the 10th and 11th grades of Russian schools and (2) Social Studies textbooks written by Nikitin for Russian schools (Grades 5 – 11) bear predominantly negative sentiment: the writers select negatively valenced words and prefer presenting negative referents. The discourse of the set of Social Studies textbooks written by Bogolubov, judged by the choice of words and phrases, demonstrated a predominantly positive bias.
    Ключевые слова sentiment analysis, academic texts, distribution, positively, negatively colored words, grade levels
    Название журнала PROCEEDINGS OF THE 24TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT)
    URL https://fruct.org/publications/fruct24/files/Sol.pdf
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