Add unit test for lightweight SVM sentiment analysis #2

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vedika0806 wants to merge 1 commit into pycaret:main from vedika0806:sentiment-analysis-svm

vedika0806 commented Oct 11, 2025

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.


          Add unit test for lightweight SVM sentiment analysis

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