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?