💡[Feature]: Add Sentiment Analysis of Movie Reviews Project

[sanchitc05]

PR Description for Sentiment Analysis of Movie Reviews Project

Fixes #1510

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Description

This pull request adds a new Sentiment Analysis of Movie Reviews project to the repository. This project uses Natural Language Processing (NLP) techniques to classify movie reviews as positive, negative, or neutral. The implementation includes TF-IDF vectorization for feature extraction and Multinomial Naive Bayes and Support Vector Machine (SVM) classifiers for sentiment prediction.

Relevant motivation:

• This project provides a scalable and automated solution to analyze customer feedback efficiently, which can be extended to other use cases such as product reviews or social media sentiment tracking.

Dependencies added:

• pandas: For data manipulation
• nltk: For text preprocessing
• scikit-learn: For feature extraction and model training

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Type of Change

• Added a new machine learning frameworks, libraries or software
• Documentation update

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Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings

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This addition will enhance the repository by offering a practical example of NLP-based sentiment analysis.

[github-actions]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

[sanjay-kv]

bro its very basic, i can only give max level 2