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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

How to do it...

In the following steps, we set up an API call to analyze the personality of an author of tweets:

  1. Sign up for a Watson Personality Insights account. It is quick and free.
  2. Import the Python library for Watson and record today's date:
from ibm_watson import PersonalityInsightsV3from datetime import datev = str(date.today())api_key = "fill me in"
  1. Specify your API key, which you have obtained in step 1, and declare the Personality Insights instance:
personality_insights_service = PersonalityInsightsV3(version=v, iam_apikey=api_key)
  1. Curate a text file, for example, a collection of tweets:
tweets_file = "ElonMuskTweets.txt"
  1. Call the Personality Insights API on the text file:
with open(tweets_file) as input_file: profile = ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content