Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples ( 2023)

Chapter 1
Introduction
if "Value" in str(row):
economy =
str(row).
count("readbarfull")
if "Product" in str(row):
product =
str(row).count
("smallratefull")
author = bleach.clean(soup.findAll("spa
n",{"itemprop":"author"})[0], tags=[],
strip=True)
date = soup.findAll("meta",{"itemprop":"dat
ePublished"})[0]["content"]
args = [date, author,str(parking),
str(ambience),str(range), str(economy),
str(product), comment]
super(RetailReview
Collector,self).print_
args(args)
######################## Main Function ########################
if __name__ == "__main__":
if sys.argv[1] == 'airline':
instance = AirLineReviewCollector(sys.argv[2])
instance.collectThoughts()
else:
if sys.argv[1] == 'retail':
instance = RetailReviewCollector(sys.argv[2])
instance.collectThoughts()
11