Evaluation of social network user sentiments based on fuzzy sets / E. E. Luneva, P. I. Banokin, A. A. Efremov

Уровень набора: (RuTPU)RU\TPU\network\2008, IOP Conference Series: Materials Science and EngineeringОсновной Автор-лицо: Luneva, E. E., specialist in the field of informatics and computer technology, Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences, Leading programmer, 1981-, Elena EvgenievnaАльтернативный автор-лицо: Banokin, P. I., specialist in the field of automatic control, Assistant of Tomsk Polytechnic University, 1988-, Pavel Ivanovich;Efremov, A. A., specialist in the field of informatics and computer technology, Assistant of the Department of Tomsk Polytechnic University, 1980-, Aleksandr AleksandrovichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Институт кибернетики (ИК), Кафедра автоматики и компьютерных систем (АИКС)Язык: английский.Серия: Control science and system engineeringРезюме или реферат: The article introduces social network user sentiment evaluation with proposed technique based on fuzzy sets. The advantage of proposed technique consists in ability to take into account user's influence as well as the fact that a user could be an author of several messages. Results presented in this paper can be used in mechanical engineering to analyze reviews on products as well as in robotics for developing user communication interface. The paper contains experimental data and shows the steps of sentiment value calculation of resulting messages on a certain topic. Application of proposed technique is demonstrated on experimental data from Twitter social network..Примечания о наличии в документе библиографии/указателя: [References: 15 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | социальные сети | пользователи | нечеткие множества | машиностроение | робототехника | интерфейсы Ресурсы он-лайн:Щелкните здесь для доступа в онлайн | Щелкните здесь для доступа в онлайн
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[References: 15 tit.]

The article introduces social network user sentiment evaluation with proposed technique based on fuzzy sets. The advantage of proposed technique consists in ability to take into account user's influence as well as the fact that a user could be an author of several messages. Results presented in this paper can be used in mechanical engineering to analyze reviews on products as well as in robotics for developing user communication interface. The paper contains experimental data and shows the steps of sentiment value calculation of resulting messages on a certain topic. Application of proposed technique is demonstrated on experimental data from Twitter social network.

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