This Python program performs keyword frequency analysis on a given text corpus. It tokenizes the text, processes it by converting to lowercase, removing non-alphanumeric characters and stopwords, and then calculates and visualizes the frequency distribution of keywords.

1. Clone this repository to your local machine.
2. Open the project in your preferred Python development environment.
3. Ensure you have Python installed.
4. Install the required nltk library by running pip install nltk.
5. Run the keyword_frequency_analysis.py script.
6. Enter your text corpus when prompted.
7. The program will process the text and display a chart showing the frequency of the most common keywords.

For example, you can input a paragraph or a document, and the program will analyze and show the distribution of the most frequently used words.

• Python (Version 3.x)
• NLTK Library (pip install nltk)
• Matplotlib Library (pip install matplotlib)

This project is licensed under the MIT License. For more details, please see the License File.

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