This is the third installment of a short series on how to build our own API. In the last two weeks, we have shown you how to create your own Flask application and how to build a sentiment classifier from tweets using the Twitter API and nltk. Today we will combine these two things to make them work together. Get comfortable, let's dig in!
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Last week we introduced you to the very basics of Flask framework and now we will show you how to create your own model for sentiment analysis. To build our dataset for training, we will use the well-known Twitter API.
This is the first tutorial of a short series where we will build our own API. In the first part, we introduce you to the Flask framework, which we will use for our API. We will also create the first Flask application and connect it with a simple web page. Get comfortable, let's dig in!