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Title: Sentiment Analysis: First Steps With Python's NLTK Library – Real Python

Open Graph Title: Sentiment Analysis: First Steps With Python's NLTK Library – Real Python

Description: In this tutorial, you'll learn how to work with Python's Natural Language Toolkit (NLTK) to process and analyze text. You'll also learn how to perform sentiment analysis with built-in as well as custom classifiers!

Open Graph Description: In this tutorial, you'll learn how to work with Python's Natural Language Toolkit (NLTK) to process and analyze text. You'll also learn how to perform sentiment analysis with built-in as well as custom classifiers!

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Compiling Datahttps://realpython.com/python-nltk-sentiment-analysis/#compiling-data
Creating Frequency Distributionshttps://realpython.com/python-nltk-sentiment-analysis/#creating-frequency-distributions
Extracting Concordance and Collocationshttps://realpython.com/python-nltk-sentiment-analysis/#extracting-concordance-and-collocations
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Training and Using a Classifierhttps://realpython.com/python-nltk-sentiment-analysis/#training-and-using-a-classifier
Comparing Additional Classifiershttps://realpython.com/python-nltk-sentiment-analysis/#comparing-additional-classifiers
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