Practical Exercises in Text Processing

In this final section, we will engage in practical exercises involving preprocessing text data, vectorizing it, extracting meaningful features, and building multiclass classification models. These exercises are designed to reinforce the concepts learned throughout the chapter and demonstrate how to effectively apply text processing and classification techniques in various scenarios. By the end of this section, we will have hands-on experience to apply in our own machine learning projects.

Exercise 1: Preprocessing and Vectorizing Text

In this exercise, we’ll preprocess raw text data and transform it into numerical features using vectorization techniques.

Implementation steps:

1. Load libraries.
2. Load the dataset.
3. Preprocess the Data (basic cleaning).
4. Vectorize the Text.

Exercise 2: Feature Extraction with N-grams

In this exercise, we'll extract n-gram features from text to capture context better for classification tasks.

Implementation...