Added data preprocessing (cleaning, stemming) and visualizations to amazon_scrapping/Sentiment_Analysis.ipynb

[Harshitmishra001]

Related Issue

Added data preprocessing (cleaning, stemming) and visualizations to amazon_scrapping/Sentiment_Analysis.ipynb
Issue #157

Description

Added clean_text Function:
The clean_text function only performed lowercase conversion, punctuation removal, tokenization, and stop word removal.
Added Visualizations:
I added two visualization sections to the code:
Confusion Matrix Visualization: The confusion matrix shows how the model classified different ratings and helps identify
where it makes mistakes (false positives, false negatives).
Rating Distribution Visualization: to visualize the distribution of ratings in the dataset.

Type of PR

• Bug fix
• [ ✅] Feature enhancement
• Documentation update
• Other (specify): _______________

Screenshots / videos (if applicable)

Checklist:

• [✅ ] I have performed a self-review of my code
• [✅ ] I have read and followed the Contribution Guidelines.
• [✅ ] I have tested the changes thoroughly before submitting this pull request.
• [ ✅] I have provided relevant issue numbers, screenshots, and videos after making the changes.
• [✅ ] I have commented my code, particularly in hard-to-understand areas.

Additional context:

Hey! I am A begginer in Machine Learning and did What I thought could overall help the code better.
Anyway for me to imporve are welcome
Thank You!