Автоматическое извлечение мнений пользователей социальных сетей по вопросам репродуктивного поведения

Автор: Калабихина Ирина Евгеньевна, Лукашевич Наталья Валентиновна, Банин Евгений Петрович, Алибаева Камила Винеровна, Ребрей Софья Михайловна

Журнал: Программные системы: теория и приложения @programmnye-sistemy

Рубрика: Искусственный интеллект, интеллектуальные системы, нейронные сети

Статья в выпуске: 4 (51) т.12, 2021 года.

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В данной работе мы представляем специализированный датасет, с разметкой мнений пользователей о репродуктивном поведении. Мы анализируем особенности распределение оценок «за» и «против» по конкретным аспектам репродуктивного поведения. Созданный датасет используется для решения двух задач классификации: классификации сообщений по релевантности изучаемых тем и позиции автора по той или иной теме. Для классификации сообщений используются классические методы машинного обучения, а также нейросетевая модель BERT. Лучшие результаты классификации в обеих задачах достигаются на основе вариантов модели BERT с использованием в классификации пар предложений - варианты NLI (natural language inference - вывод по тексту) и QA (question-answering - вопросно/ответный подход). Кроме того, созданный датасет позволяет сделать содержательные выводы по вопросам отношения пользователей сети ВКонтакте к вопросам репродуктивного поведения. Выявлено, что феномен сознательной бездетности активно представлен в сети, а многодетность остается слабо распространенной моделью поведения. В рамках пронаталистской политики важно формировать позитивное общественное мнение о родительстве, смягчать дефицит времени у родителей.

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Анализ мнений, обучение с учителем, демографическая политика, вконтакте, репродуктивное поведение

Короткий адрес: https://sciup.org/143178114

IDR: 143178114 | DOI: 10.25209/2079-3316-2021-12-4-33-63

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