A lightweight Python tool for efficient data scaling using the waffle algorithm. Optimize performance in ML models and data analysis tasks.
This code generates word clouds based on input text data. It utilizes the wordcloud library to create visually appealing word cloud visualizations.
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Clone the repository: git clone https://github.com/alimul-khan/WordCloudByAlim.git
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Install the required dependencies: pip install -r requirements.txt
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Prepare the input text files:
- Ensure you have two text files:
cv.txtandjob.txt. - Update the content of
cv.txtwith your CV or any other text you want to generate a word cloud for. - Update the content of
job.txtwith the job description or any other text you want to generate a word cloud for.
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Run the script: python wordcloud_generator.py
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The generated word clouds will be saved as
CV_WordCloud.pngandJob_WordCloud.pngin the current directory.
The author of this code makes no warranties or guarantees regarding its functionality, reliability, or suitability for any purpose. Use it at your own risk.
For more information or inquiries, you can reach out to the author at LinkedIn.