Update clustering movie review.ipynb

[Chandrikajoshi123]

Added NLTK Stopwords, PCA for dimensionality reduction, and Visualization with Matplotlib.

Related Issue

[Cite any related issue(s) this pull request addresses. If none, simply state “None”]

Description

This Pull request enhance the existing codebase by incorporating several new libraries and functionalities to improve text processing and visualization. Key changes include:

1. NLTK Stopwords:

Added the 'nltk.corpus' Stopwords to remove common, non-informative words from text data, enhancing the quality of text analysis.

2. Principal Component Analysis (PCA):

Integrated PCA for dimensionality reduction, allowing for better handling of high dimensional data and facilitating more effective clustering.

3. Matplotlib:

Added 'matplotlib' for visualizing the clustering results. The clusters are projected onto a 2D plane using PCA, providing a clear visual representation of data structure.

These additions will help streamline text preprocessing, reduce computational complexity, and provide insightful visualization of clustering outcomes, aiding in better data interpretation and decision-making.

Type of PR

• [] Documentation update

Screenshots / videos (if applicable)

[Attach any relevant screenshots or videos demonstrating the changes]

Checklist:

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

[Chandrikajoshi123]

We want you to add in the same imdb ipynb.

The problem is indivtiual ipynb for all issue creates leads scattered data. sorry about RC

okay thanks for informing

[github-actions[bot]]

This PR has been automatically closed due to inactivity from the owner for 15 days.