Applications of text classification

As was discussed in Chapter 3Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms, unsupervised learning, including clustering and topic modeling, can be applied to text data. We will continue to see how supervised learning, specifically classification, is used in the text domain.

In fact, classification has been widely used in text analysis and news analytics. For instance, classification algorithms are used to identify news sentiment, positive or negative in a binary case, or positive, neutral, or negative in a multiclass classification case. News sentiment analysis provides a significant signal to trading in the stock market.

Another example that comes to mind is news topic ...

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