April 2018
Beginner to intermediate
566 pages
12h 17m
English
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.
In order to understand the implementation of the baseline model, you can refer to the following code snippet:

Figure 5.8: Code snippet for performing ...