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Apache Spark Deep Learning Cookbook
book

Apache Spark Deep Learning Cookbook

by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
July 2018
Intermediate to advanced
474 pages
13h 37m
English
Packt Publishing
Content preview from Apache Spark Deep Learning Cookbook

How it works...

This section explains how a Python function is converted into a user-defined function, udf, within Spark to apply a sentiment analysis score to each column in the dataframe.

  1. Textblob is a sentiment analysis library in Python. It can calculate the sentiment score from a method called sentiment.polarity that is scored from -1 (very negative) to +1 (very positive) with 0 being neutral. Additionally, Textblob can measure subjectivity from 0 (very objective) to 1 (very subjective); although, we will not be measuring subjectivity in this chapter.
  2. There are a couple of steps to applying a Python function to Spark dataframe:
    1. Textblob is imported and a function called sentiment_score is applied to the chat column to generate the ...
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Publisher Resources

ISBN: 9781788474221