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Detection of Author’s Educational Level and Age based on Comments Analysisстатья Электронная публикация
- Авторы: Gomzin A., Laguta A., Stroev V., Turdakov D.
- Сборник: Конференция DIALOGUE 2018: студенческая сессия
- Год издания: 2018
- Первая страница: 1
- Последняя страница: 10
- Аннотация: The paper presents evaluation of machine learning based methods for prediction of author’s educational level and age using text she wrote in on-line social networks. The search for the best methods was carried out by a group of students who took an educational course in text processing. The paper describes the design of a practical task offered to students, developed in such a way as to motivate students to search for the best solutions. Evaluation results showed that the support vector machine with a linear kernel performs unexpectedly well in the given constraints.
- Добавил в систему: Корныхин Евгений Валерьевич
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Полный текст | gomzin_turdakov.pdf | 277,9 КБ | 31 августа 2018 [kornevgen] |