Training the baseline model

In this section, we will look at the code that helps us perform actual training on the training dataset. We will look at the implementation first, and then I will explain the code step by step. Here, we will be implementing Naive Bayes and SVM algorithms. For implementation, we will be using the scikit-learn library. You can find the code at this GitHub link: https://github.com/jalajthanaki/Sentiment_Analysis/blob/master/Baseline_approach.ipynb.

Implementing the baseline model

In order to understand the implementation of the baseline model, you can refer to the following code snippet:

Implementing the baseline model

Figure 5.8: Code snippet for performing ...

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