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Text Preprocessing with Python

Solution Explanations: Text Representation

Explore how to implement key text representation techniques including Bag-of-Words, TF-IDF, and word embeddings. Learn to transform text into numerical formats suitable for analysis and build foundational skills for NLP applications using Python.

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Solution 1: Bag-of-words

Here’s the solution:

Python 3.8

Let’s go through the solution explanation:

  • Lines 5–6: We create an instance of the CountVectorizer class and store it in the vectorizer variable and later apply the fit_transform() method of vectorizer to the feedback data. This method converts the text data into a matrix ...