Webscraping Text with Python and Intro to Natural Language Processing with NLTK


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In this video we use BeautifulSoup and Requests to access text data from Project Gutenberg. Once accessed, we will use some regular expressions to manipulate the text and tokenize the text. From here, we use NLTK to visualize the frequency of words and create a wordcloud using the wordcloud library.

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