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Natural Language Processing: Python and NLTK

You're reading from   Natural Language Processing: Python and NLTK Learn to build expert NLP and machine learning projects using NLTK and other Python libraries

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Product type Course
Published in Nov 2016
Publisher Packt
ISBN-13 9781787285101
Length 702 pages
Edition 1st Edition
Languages
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Authors (5):
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Iti Mathur Iti Mathur
Author Profile Icon Iti Mathur
Iti Mathur
Jacob Perkins Jacob Perkins
Author Profile Icon Jacob Perkins
Jacob Perkins
Deepti Chopra Deepti Chopra
Author Profile Icon Deepti Chopra
Deepti Chopra
Nitin Hardeniya Nitin Hardeniya
Author Profile Icon Nitin Hardeniya
Nitin Hardeniya
Nisheeth Joshi Nisheeth Joshi
Author Profile Icon Nisheeth Joshi
Nisheeth Joshi
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Toc

What you need for this learning path

Module 1:

We need the following software for this module:

Chapter number

Software required (with version)

Free/Proprietary

Download links to the software

Hardware specifications

OS required

1-5

Python/Anaconda

NLTK

Free

https://www.python.org/

http://continuum.io/downloads

http://www.nltk.org/

Common Unix Printing System

any

6

scikit-learn and gensim

Free

http://scikit-learn.org/stable/

https://radimrehurek.com/gensim/

Common Unix Printing System

any

7

Scrapy

Free

http://scrapy.org/

Common Unix Printing System

any

8

NumPy, SciPy, pandas, and matplotlib

Free

http://www.numpy.org/

http://www.scipy.org/

http://pandas.pydata.org/

http://matplotlib.org/

Common Unix Printing System

any

9

Twitter Python APIs and Facebook python APIs

Free

https://dev.twitter.com/overview/api/twitter-libraries

https://developers.facebook.com

Common Unix Printing System

any

Module 2:

You will need Python 3 and the listed Python packages. For this learning path, the author used Python 3.3.5. To install the packages, you can use pip (https://pypi.python.org/pypi/pip/). The following is the list of the packages in requirements format with the version number used while writing this learning path:

  • NLTK>=3.0a4
  • pyenchant>=1.6.5
  • lockfile>=0.9.1
  • numpy>=1.8.0
  • scipy>=0.13.0
  • scikit-learn>=0.14.1
  • execnet>=1.1
  • pymongo>=2.6.3
  • redis>=2.8.0
  • lxml>=3.2.3
  • beautifulsoup4>=4.3.2
  • python-dateutil>=2.0
  • charade>=1.0.3

You will also need NLTK-Trainer, which is available at https://github.com/japerk/nltk-trainer.

Beyond Python, there are a couple recipes that use MongoDB and Redis, both NoSQL databases. These can be downloaded at http://www.mongodb.org/ and http://redis.io/, respectively.

Module 3:

For all the chapters, Python 2.7 or 3.2+ is used. NLTK 3.0 must be installed either on 32-bit machine or 64-bit machine. Operating System required is Windows/Mac/Unix.

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