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Machine Learning for the Web

You're reading from   Machine Learning for the Web Gaining insight and intelligence from the internet with Python

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785886607
Length 298 pages
Edition 1st Edition
Languages
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Authors (2):
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Andrea Isoni Andrea Isoni
Author Profile Icon Andrea Isoni
Andrea Isoni
Steve Essinger Steve Essinger
Author Profile Icon Steve Essinger
Steve Essinger
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to Practical Machine Learning Using Python FREE CHAPTER 2. Unsupervised Machine Learning 3. Supervised Machine Learning 4. Web Mining Techniques 5. Recommendation Systems 6. Getting Started with Django 7. Movie Recommendation System Web Application 8. Sentiment Analyser Application for Movie Reviews Index

Integrating Django with Scrapy


To make paths easy to call, we remove the external scrapy_spider folder so that inside the movie_reviews_analyzer_app, the webmining_server folder is at the same level as the scrapy_spider folder:

├── db.sqlite3
├── scrapy.cfg
├── scrapy_spider
│   ├── ...
│   ├── spiders
│   │   ...
└── webmining_server

We set the Django path into the Scrapy settings.py file:

# Setting up django's project full path.
import sys
sys.path.insert(0, BASE_DIR+'/webmining_server')
# Setting up django's settings module name.
os.environ['DJANGO_SETTINGS_MODULE'] = 'webmining_server.settings'
#import django to load models(otherwise AppRegistryNotReady: Models aren't loaded yet):
import django
django.setup()

Now we can install the library that will allow managing Django models from Scrapy:

sudo pip install scrapy-djangoitem

In the items.py file, we write the links between Django models and Scrapy items as follows:

from scrapy_djangoitem import DjangoItem
from pages.models import Page...
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