Микросервис для загрузки данных из социальной сети twitter для анализа эмоций пользователей

Bibliographische Detailangaben
Parent link:Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XIV Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 25-28 апреля 2017 г./ Национальный исследовательский Томский политехнический университет (ТПУ) ; под ред. И. А. Курзиной, Г. А. Вороновой.— , 2017
Т. 3 : Математика.— 2017.— [С. 74-76]
1. Verfasser: Мытницкая М. В.
Körperschaft: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Weitere Verfasser: Шубкин Е. О. (727), Лунёва Е. Е. Елена Евгеньевна
Zusammenfassung:Заглавие с экрана
Micro blogs on the Twitter platform have become an important tool for exchanging views and different points of view. The analysis of these opinions is a powerful tool that is applicable in many areas of activity. In particular, automated analysis of messages can provide hidden information about the state of the stock market. Studies of economists from the Munich Technical University showed that the moods that are present in messages from Twitter similarly develop in the stock market and moreover they sometimes outpace them for one day.
Sprache:Russisch
Veröffentlicht: 2017
Schlagworte:
Online-Zugang:http://earchive.tpu.ru/handle/11683/41393
Format: Elektronisch Buchkapitel
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=622780
Beschreibung
Zusammenfassung:Заглавие с экрана
Micro blogs on the Twitter platform have become an important tool for exchanging views and different points of view. The analysis of these opinions is a powerful tool that is applicable in many areas of activity. In particular, automated analysis of messages can provide hidden information about the state of the stock market. Studies of economists from the Munich Technical University showed that the moods that are present in messages from Twitter similarly develop in the stock market and moreover they sometimes outpace them for one day.