May 2020
Intermediate to advanced
404 pages
10h 52m
English
Content preview from Hands-On Python Deep Learning for the Web
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Reading the dataset and preparing cleaning functions
We will read the Amazon Fine Food Reviews dataset with the ISO-8859-1 encoding. This is only to ensure that we do not lose out on any special symbols used in the text of the review:
df = pd.read_csv('Reviews.csv', encoding = "ISO-8859-1")df = df.head(10000)
Since the dataset is very large, we've restricted our work in this chapter to the first 10,000 rows in the dataset.
We would need to remove stop words from the text and filter out symbols such as brackets and other symbols not natural to written text. We will create a function named cleanText(), which will perform the filtering and removal of stop words:
import stringimport restopwordSet = set(stopwords.words("english"))def cleanText(line): ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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