March 2019
Beginner
374 pages
6h 36m
English
Content preview from Natural Language Processing Fundamentals
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Appendix
About
This section is included to assist the students to perform the activities in the book. It includes detailed steps that are to be performed by the students to achieve the objectives of the activities.
1. Introduction to Natural Language Processing
Activity 1: Preprocessing of Raw Text
Solution
Let's perform preprocessing on a text corpus. To implement this activity, follow these steps:
- Open a Jupyter notebook.
- Insert a new cell and add the following code to import the necessary libraries:
import nltk
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
nltk.download('stopwords')
nltk.download('wordnet')
from nltk import word_tokenize
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.corpus import stopwords ...
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