stat628 module 3 slides2 · business name state topic 1 place rank topic 2 service rank topic 3...
TRANSCRIPT
01
02
Suggestion
Missing Value in Business Attributes
> 50% Removal
<=50% Imputation
Normalized root mean squared error (NRMSE)
mean((X − X̂ )2 )var(X )
Business Attributes
K=3 K=5
Ontario in Canada
Positive Topic WordsEnvironment drink, bar, night, beer, table, look, menu
Service time, service, amaze, experience, staff, friendly, recommendFood dish, fry, sauce, chicken, taste, menu, delicious
Negative Topic WordsTable Availability table, wait, minutes, seat, sit, host, ask
Service Time time, service, wait, experience, staff, slow, longFood Flavor fry, taste, chicken, dish, menu, wing, sauce
Bartender Proficiency drink, bar, beer, night, look, friends, bartenderService Quality ask, server, tell, bill, manager, leave, waitress
Elite Years User Weight0 11 1.12 1.23 1.34 1.45 1.56 1.67 1.78 1.89 1.910 2.011 2.112 2.2
Frequency of Elite Years
years_elite
Frequency
0 2 4 6 8 10 12 14
05000
10000
15000
20000
Business topic j score =Wuseri
*Scoretopici
j
j=1
m
∑i=1
n
∑
Wuserii=1
n
∑
Business
Review 1𝑢":𝑤"
topic 1 S""
topic 2 𝑆"'
topic j 𝑆"(
Review i𝑢): 𝑤* topic j 𝑆)(
Business Name State Topic 1 PlaceRank
Topic 2 ServiceRank
Topic 3 MenuRank
Sparrow QC 66% 55% 71%
Words CategoryTopic 1 table, wait, minutes, ask, time, service, minutes, waitress PlaceTopic 2 drink, bar, night, beer, bartender, pay, leave ServiceTopic 3 fry, taste, chicken, dish, menu, service, burger Menu
https://ylingbfcalculator.shinyapps.io/Yelp_data_analysis/