Word Frequency Analysis , is designed to analyze the frequency of words in a given text. It is a useful tool for gaining insights into the most frequently used words in a text document. The script employs the NLTK library for tokenization and stopwords removal and utilizes Pandas and Matplotlib for data analysis and visualization.
Text Input: Users can input the text they want to analyze for word frequency. Tokenization: The script tokenizes the text into words, making it suitable for analysis. Stopwords Removal: Common English stopwords are removed to focus on significant words. Word Frequency Analysis: The tool calculates and presents word frequency in a clear, tabular format. Top 10 Words: It displays the top 10 most frequently used words in the text. Optional Visualization: The tool provides an optional bar chart visualization of the top 10 most frequent words.
Run the script, and it will prompt you to input the text you want to analyze. The script will then process the text and provide you with a table showing the top 10 most frequent words and an optional bar chart.
Contributions and suggestions are welcome. If you have any improvements or new features to add, please submit a pull request.
If you encounter any issues or have feedback, please create an issue in the repository. Thank you for using the Word Frequency Analysis Tool! I hope it helps you gain valuable insights from your text data.