Бухалова, Анастасия Дмитриевна. Программа анализа тональности текстов на основе методов машинного обучения [Электронный ресурс]: выпускная квалификационная работа бакалавра: 09.03.04 - Программная инженерия ; 09.03.04_01 - Технология разработки и сопровождения качественного программного продукта = Sentiment analysis program based on machine learning methods / А. Д. Бухалова; Санкт-Петербургский политехнический университет Петра Великого, Институт компьютерных наук и технологий ; науч. рук. П. Д. Дробинцев. — Электрон. текстовые дан. (1 файл : 0,9 Мб). — Санкт-Петербург, 2019. — Загл. с титул. экрана. — Доступ по паролю из сети Интернет (чтение). — Adobe Acrobat Reader 7.0. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/vr19-4549.pdf>. — <URL:http://doi.org/10.18720/SPBPU/3/2019/vr/vr19-4549>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-4549-o.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-4549-a.pdf>.
|
Period
|
Read
|
Print
|
Copy
|
Open
|
Total
|
|
Year 2019
|
Quarter 4
|
October
|
13
|
0
|
0
|
0
|
13
|
|
November
|
2
|
0
|
0
|
0
|
2
|
|
December
|
1
|
0
|
0
|
0
|
1
|
|
Year 2020
|
Quarter 1
|
January
|
2
|
0
|
0
|
0
|
2
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
4
|
0
|
0
|
0
|
4
|
|
Quarter 2
|
April
|
10
|
0
|
0
|
0
|
10
|
|
May
|
8
|
0
|
0
|
0
|
8
|
|
June
|
2
|
0
|
0
|
0
|
2
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2021
|
Quarter 1
|
January
|
1
|
0
|
0
|
0
|
1
|
|
February
|
2
|
0
|
0
|
0
|
2
|
|
March
|
4
|
0
|
0
|
0
|
4
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
6
|
0
|
0
|
0
|
6
|
|
June
|
4
|
0
|
0
|
0
|
4
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2022
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
15
|
0
|
0
|
0
|
15
|
|
June
|
4
|
0
|
0
|
0
|
4
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
1
|
0
|
0
|
0
|
1
|
|
Year 2023
|
Quarter 1
|
January
|
2
|
0
|
0
|
0
|
2
|
|
February
|
1
|
0
|
0
|
0
|
1
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
1
|
0
|
0
|
0
|
1
|
|
Year 2024
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
Total
|
84
|
0
|
0
|
0
|
84
|
