Text Analyzer

Analyze words, sentences, and keyword frequency using string methods, collections, and decorators.

Part of the free Python course at LearnCodingFast — hands-on lessons with examples you run in your browser, plus practice exercises and a quick quiz.

Project Overview

Goal: Analyze text files and generate statistics.

Concepts: String methods, collections.Counter, decorators for timing.

Key Features:

Technologies & Concepts:

Starter Code

This is a command-line app that uses input() for user interaction. The browser demo below shows a simplified version. For the full interactive experience, copy the code below and run it in your local Python environment (IDLE, VS Code, or terminal). Jump to the Browser Demo .

Here's a functional starting version of your app. Copy it to your local Python editor and run it.

🎮 Browser Demo (Simplified Version)

This browser version demonstrates the core logic without user input. Click Run to see it work!

Enhancement Ideas 🚀

1. File Upload Support

Allow users to upload text files and automatically analyze them.

2. Sentiment Analysis

Use the textblob library to determine if text is positive, negative, or neutral.

3. Reading Level Calculator

Implement the Flesch-Kincaid readability test to calculate the reading level.

4. Word Cloud Generation

Use matplotlib and wordcloud to create visual word clouds.

5. Compare Multiple Texts

Add functionality to compare two texts and find similarities/differences.

Next Steps

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