August 2015
Beginner to intermediate
294 pages
5h 20m
English
Content preview from Mastering Python for Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 11. Analyzing Unstructured Data with Text Mining
There is a lot of unstructured data out there, such as news articles, customer feedbacks, Twitter tweets and so on, that contains information and needs to be analyzed. Text mining is a data mining technique that helps us to perform an analysis of this unstructured data.
In this chapter, we'll learn the following:
- Preprocessing data
- Plotting a wordcloud from data
- Word and sentence tokenization
- Tagging parts of speech
- Stemming and lemmatization
- Applying Stanford Named Entity Recognizer
Preprocessing data
We'll use the reviews of Mad Max: Fury Road from the online portals of BBC, Forbes, Guardian, and Movie Pilot.
We'll extensively use the Natural Language Toolkit (NLTK) package of Python in this chapter ...
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