Feature Extraction
Explore the process of feature extraction from text data, focusing on transforming raw text into numerical feature vectors for machine learning models. Understand how CountVectorizer tokenizes and counts word occurrences including handling unigrams and bigrams, along with an introduction to TF-IDF for improved feature representation.
We'll cover the following...
We'll cover the following...
What is feature extraction
Feature extraction is different from feature selection. Feature extraction focuses on how to extract data from complicated data, such as text or images, to numerical features. Image processing and text are complex structured data and traditional Machine Learning algorithms cannot directly process both these data types. Such data must be preprocessed to extract the ...