: Importing data (e.g., from CSV or JSON) and cleaning text by removing stop words and handling n-grams to improve accuracy.
: For large datasets, LinearSVC is often preferred over SVC because it is less computationally expensive and converges faster.
A well-structured svc.py usually includes the following stages:
: Converting text into numerical data using techniques like TfidfVectorizer or CountVectorizer .