July 2017
Beginner to intermediate
312 pages
7h 27m
English
Content preview from Python Social Media Analytics
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Step 3 – feature extraction
Our data frames contain raw data that we gathered from Graph API. It contains all kinds of characters that we can find in posts and comments. We have to pre-process them and perform initial information extraction to be able to understand what actual consumers say.
We define the feature extraction process as a pipeline that makes different kinds of transformation in a sequence. The goal at this stage is to extract hashtags, keywords, and noun phrases from posts and comments.
The preprocess() function cleans a raw verbatim (field message in our dataset) from white spaces, punctuation, and converts to lowercase. Then, ...
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