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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/28054
Title: Сравнение различных подходов к анализу текста на примере задачи предсказания оценки ресторана по отзыву посетителя
Authors: Шлеменков, А. А.
Keywords: материалы конференций;анализ текста;рестораны;естественная обработка языков;отзывы посетителей
Issue Date: 2017
Publisher: БГУИР
Citation: Шлеменков, А. А. Сравнение различных подходов к анализу текста на примере задачи предсказания оценки ресторана по отзыву посетителя / А. А. Шлеменков // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 298-300.
Abstract: In this research paper two common methods of texts analysis had been applied to the problem of res- taurant review mark prediction. The results of the methods applied to the task had been analyzed and had been listed in table for comparison; reasons of different performance for specific pair of data and problem had been proposed.
URI: https://libeldoc.bsuir.by/handle/123456789/28054
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)

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