Add unit test for lightweight SVM sentiment analysis

[vedika0806]

Overview

Added a new example notebook demonstrating Sentiment Analysis using Support Vector Machines (SVM) with TF-IDF features on the TweetEval dataset.

Details

• Implemented lightweight SVM model using scikit-learn.
• Used TF-IDF for text vectorization.
• Dataset: TweetEval (Positive / Negative / Neutral labels)
• Added example notebook: Sentiment_Analysis_SVM_Scikit.ipynb
• Added a small test file: tests/test_sentiment_analysis_svm_scikit.py
• Updated README with usage instructions.

Why this change

This example adds a simple, CPU-friendly SVM-based text classification workflow for educational purposes.

Testing

• All notebook cells executed successfully.
• Unit test (pytest) passed successfully.