July 2017
Beginner to intermediate
312 pages
7h 27m
English
Content preview from Python Social Media Analytics
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Data cleaning
Thereafter, as seen in the earlier chapters, we need to clean and structure the data pulled from the last section using the following methodology:
- Removing extra whitespaces
- Removing html tags
- Removing URLs
- Removing punctuations
- Word standardization
- Splitting of attached words
- Lowercase conversion
- Stopword removal
- Tokenization
import re, itertoolsimport nltkfrom nltk.corpus import stopwordsdef data_cleaning(verbatim): verbatim = verbatim.strip() #remove whitespaces verbatim = re.sub(r'<[^<]+?>', ' ', verbatim) #remove html tags verbatim = re.sub(r'https?:\/\/.*[\r\n]*', ' ', verbatim, flags=re.MULTILINE) #remove urls verbatim = re.sub(r'[^\w\s]',' ',verbatim) #remove ponctuation verbatim = ''.join(''.join(s)[:2] for _, s ...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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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.