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Installation and Setup

Note that you can also download the Jupyter Notebook for this lesson to follow along

Python 3

  • the Natural Language Toolkit
    • We will be using both corpora and tools from this package
  • pandas
    • We will use this for data processing
    • Comes with Anaconda
  • matplotlib
    • We will use this for visualizing our data
    • Comes with Anaconda
  • scikit-learn
    • We will use this for machine learning
    • Comes with Anaconda

Importing Packages

Let's get started by importing some packages we will need for this workshop.

  • The Brown Corpus: A text corpus of American English, split into fifteen different categories

  • Part of speech taggers (POS): prebuilt functions that are designed to determine the part of speech of every word in the sentence you give them

  • pandas as pd: importing the Pandas toolkit and renaming it pd, to make the command briefer for us to type each time we use it

  • matplotlib.pyplot as plt: importing plotting tools from matplotlib and renaming them plt

    %matplotlib inline

    We use the above code to ensure our images display clearly in the Jupyter notebook.

  • sklearn: the scikit-learn machine learning toolkit

import nltk
from nltk.corpus import brown
from nltk import pos_tag_sents
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import sklearn

Note that you can also download the Jupyter Notebook for this lesson to follow along.

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