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Анализ тональности сообщений социальной сети

выпускная квалификационная работа бакалавра
descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2018 Russian Publisher:Санкт-Петербургский политехнический университет Петра Великого

doi: 10.18720/spbpu/2/v18-5041

Анализ тональности сообщений социальной сети

Abstract

Ð’ данной работе разработана программа, которая автоматически определяет тональность отзывов, Ð½Ð°Ð¹Ð´ÐµÐ½Ð½Ñ‹Ñ Ð² социальной сети Twitter, о каком-либо событии или мероприятии по введенному ключевому слову. Был проведен обзор предметной области, в результате которого были выделены Ð¿Ð¾Ð´Ñ Ð¾Ð´Ñ‹ автоматического определения тональностей и возможные проблемы. Были исследованы особенности сообщений данной социальной сети, а также подробнее были изучены наивный байесовский классификатор и словарный Ð¿Ð¾Ð´Ñ Ð¾Ð´.

Keywords

словарный Ð¿Ð¾Ð´Ñ Ð¾Ð´, социальная сеть, наивный байесовский классификатор, анализ тональности

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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