评论文本对酒店满意度的影响: 基于情感分析的方法

吴维芳, 高宝俊, 杨海霞, 孙含琳

The Impacts of Reviews on Hotel Satisfaction: A Sentiment Analysis Method

Wu Weifang,Gao Baojun,Yang Haixia,Sun Hanlin

表6 回归模型结果

	Dependent variable: as.factor(AvgRating)
	(1)	(2)	(3)	(4)
y≥2	2.0906^***	1.8908^***	2.3932^***	2.1126^***
	-0.0571	(0.0747)	(0.0925)	(0.0600)
y≥3	1.0706^***	0.8228^***	1.3668^***	0.9845^***
	-0.0438	(0.0589)	(0.0686)	(0.0457)
y≥4	-0.2140^***	-0.7763^***	0.3546^***	-0.4444^***
	-0.0402	(0.0577)	(0.0605)	(0.0429)
y≥5	-1.6895^***	-2.5997^***	-0.9835^***	-1.9997^***
	-0.0456	(0.0735)	(0.0626)	(0.0494)
food_senti	0.3006^***	0.4529^***	0.4552^***
	-0.0626	(0.0786)	(0.1131)
facility_senti	0.6049^***	0.5666^***	0.4389^***
	-0.0296	(0.0415)	(0.0440)
value_senti	0.3540^***	0.5665^***	0.6579^***
	-0.0599	(0.0724)	(0.1231)
staff_senti	0.7608^***	0.8931^***	0.7486^***
	-0.0424	(0.0592)	(0.0651)
cleanliness_senti	0.4665^***	0.6457^***	0.7906^***
	-0.0499	(0.0604)	(0.1069)
location_senti	0.5236^***	0.4926^***	0.3709^**
	-0.0731	(0.0984)	(0.1138)
internet_senti	0.0624	0.3743^***	-0.1412
	-0.0964	(0.1049)	(0.3502)
ave_sentiment				6.7401^***
				(0.1954)
sentiment^2				-3.7624^***
				(0.2259)
Num_of_feature				-0.0802^***
				(0.0178)
Observations	5, 124	2, 625	2, 499	5, 124
R²	0.2571	0.3437	0.2087	0.3229
chi² (df = 7)	1 424.3920^***	1 037.0600^***	538.1301^***	1 863.1670^***