Python Artificial Intelligence Projects for Beginners

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Summary
In this chapter, we learned about random forests and classify bird species . Later, we
discussed the confusion matrix and different graphs that gave us output based on random
trees, decision trees, and SVM.
In the next chapter, we'll go look at comment classification using bag-of-words models and
Word2Vec models.

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3
3
Applications for Comment
Classification
In this chapter, we'll overview the bag-of-words model for text classification. We will look
at predicting YouTube comment spam with the bag-of-words and the random forest
techniques. Then we'll look at the Word2Vec models and prediction of positive and
negative reviews with the Word2Vec approach and the k-nearest neighbor classifier. 
In this chapter, we will particularly focus on text and words and classify internet comments
as spam or not spam or to identify internet reviews as positive or negative. We will also
have an overview for bag of words for text classification and prediction model to predict
YouTube comments are spam or not using bag of words and random forest techniques. We
will also look at Word2Vec models an k-nearest neighbor classifier.
But, before we start, we'll answer the following question: 
what makes text classification an
interesting problem?

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Applications for Comment Classification
Chapter 3