BookBot

BookBot is a simple text analysis and sentiment analysis script built in Python. It can analyze the text, calculate various metrics, and determine the emotional tone of the text.

Features

• Text Analysis: Analyze various aspects of the text, including:

  • Total word count
  • Unique word count
  • Sentence count
  • Syllable count
  • Average word length
  • Reading time estimation

• Sentiment Analysis: Assess the emotional tone of the text using a comprehensive word list. Determine if the sentiment is positive, negative, or neutral.

• Frequency Analysis: Get detailed insights on:

  • Letter frequency
  • Word frequency
  • Punctuation frequency
  • N-gram frequency (bigrams and trigrams)

• Readability Metrics: Calculate the Flesch-Kincaid readability score and grade level to assess the text's complexity.

Installation

Clone the repository:

git clone https://github.com/igorplebanczyk/bookbot.git

Usage

python -m bookbot <path_to_txt_file>

Notes

• Recommended Python version: 3.10 or higher
• Requires no external dependencies
• Originally designed as a guided project on boot.dev, but has since been heavily expanded
• It was primarily designed for learning purposes