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The NLTK module is a huge toolkit designed to help you with the entire Natural Language Processing (NLP) approach. NLTK will provide you with everything from splitting paragraphs to sentences, splitting words, identifying the part of speech, highlighting themes, and even helping your machine understand what the text is about. In this series, we will address the areas of opinion mining or sentiment analysis.
As we learn how to use NLTK for sentiment analysis, we will learn the following:
Participle — Splits the text body into sentences and words.
Part of speech tagging
Machine learning and naive Bayes classifier
How to use Scikit Learn (sklearn) with NLTK together
Training classifiers with data sets
Real-time streaming sentiment analysis with Twitter.
…and more.
To get started, you need the NLTK module, as well as Python.
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https://medium.datadriveninvestor.com/python-data-science-getting-started-tutorial-nltk-2d8842fedfdd
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