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. 2023 Oct 6;9(10):e20768. doi: 10.1016/j.heliyon.2023.e20768

Table 4.

Sentiment analysis table based on text classification.

Government Environment
Number of comments (/piece)
Sentiment Category&segmentation
Ratio (/%) Type (/%)
Market Environment
Number of comments (/piece)
Sentiment Category&segmentation
Ratio (/%) Type (/%)
Legal Environment
Number of comments (/piece)
Sentiment Category&segmentation
Ratio (/%) Type (/%)
Cultural Environment
Number of comments (/piece)
Sentiment Category&segmentation
Ratio (/%) Type (/%)
(2747)
Positive Sentiment
(50.38)
(372)
High
(6.83)
(7923)
Positive Sentiment
(47.30)
(1028)
High
(6.14)
(2411)
Positive Sentiment(58.46)
(644)
High(15.62)
(5152)
Positive Sentiment(60.49)
(1106)
High(12.99)
(756)
Moderate(13.86)
(1831)
Moderate(10.93)
(612)
Moderate(14.84)
(1359)
Moderate(15.96)
(1619)
General
(29.69)
(5064)
General(30.23)
(1155)
General
(28.01)
(2687)
General
(31.55)
(852)
Neutral Sentiment(15.62)
(4737)
Neutral Sentiment(28.28)
(432)
Neutral Sentiment(10.47)
(1017)
Neutral Sentiment(11.93)
(1854)
Negative Sentiment (34.00)
(124)
High
(2.28)
(4090)
Negative Sentiment(24.42)
(375)
High
(2.24)
(1281)
Negative Sentiment
(31.06)
(174)
High
(4.22)
(2348)
Negative Sentiment
(27.57)
(230)
High
(2.70)
(335)
Moderate(6.14)
(822)
Moderate
(4.91)
(287)
Moderate(6.96)
(495)
Moderate(5.81)
(1395)
General(25.58)
(2893)
General(17.27)
(820)
General(19.88)
(1623)
General(19.06)
5453 5453 (16750) (16750) (4124) (4124) (8517) (8517)
Total Total Total Total Total Total Total Total
(100) (100) (100) (100) (100) (100) (100) (100)