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Word Frequency in Classic Novels
In this project, you will use importing and text manipulation skills to find out the main protagonists in Peter Pan!
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Project Description
In this Project, you'll scrape a novel from the website Project Gutenberg (which contains a large corpus of books) using the Python package requests. Then you'll extract words from this web data using BeautifulSoup. Finally, we'll dive into analyzing the distribution of words using the Natural Language ToolKit (nltk).
The natural language processing tools used here apply to much of the data that data scientists encounter as a vast proportion of the world's data is unstructured data and includes a great deal of text. To complete this Project, you need to know how to import web data into Python and how to work with natural language text.
Project Tasks
- 1# Introduction
Technologies
Python
Hadrien Lacroix
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Curriculum Manager at DataCamp
Hadrien has collaborated on 30+ courses ranging from machine learning to database administration through data engineering. He's currently enrolled in a Masters of Analytics at Georgia Tech.
Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.
Follow Hadrien on LinkedIn
Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.
Follow Hadrien on LinkedIn