BasicTextMetrics 0.2.1

Analyze textual data and extract useful metrics such as word count, character count, average word length, and most common words

TextMetrics

TextMetrics is a Python package for basic text analysis and statistics. It provides simple yet efficient functions to analyze textual data and extract useful metrics such as word count, character count, average word length, and most common words.

Features

Word Count: Count the number of words in a text. Character Count: Count the number of characters in a text. Average Word Length: Calculate the average length of words in a text. Most Common Words: Find the most common words in a text.

Installation You can install Basictextmetrics using pip: pip install BasicTextMetrics

Usage Here's a quick example demonstrating the usage of BasicTextMetrics:

python Copy code from basictextmetrics import core

text = "This is a sample text for demonstrating the BasicTextMetrics package." print("Word count:", core.word_count(text)) print("Character count:", core.char_count(text)) print("Average word length:", core.avg_word_length(text)) print("Most common words:", core.most_common_words(text))

Contributing Contributions are welcome! If you find any issues or have suggestions for improvement, feel free to open an issue or submit a pull request on the GitHub repository.

License This project is licensed under the MIT License - see the LICENSE file for details.

This README provides a brief overview of the BasicTextMetrics package, its features, installation instructions, usage examples, guidelines for contributing, and information about the license. Feel free to customize it further based on your preferences and specific details of the package.