https://github.com/samarth4023/text-processing-minor-project

Text Processing Minor Project 📝 Welcome to the Text Processing and Information Application! 🚀 As part of this project, I’ve leveraged object-oriented programming (OOP) concepts to build a powerful tool for handling text data.
https://github.com/samarth4023/text-processing-minor-project

json python python-3 txt txt-files

Last synced: 6 months ago
JSON representation

Text Processing Minor Project 📝 Welcome to the Text Processing and Information Application! 🚀 As part of this project, I’ve leveraged object-oriented programming (OOP) concepts to build a powerful tool for handling text data.

• Host: GitHub
• URL: https://github.com/samarth4023/text-processing-minor-project
• Owner: Samarth4023
• Created: 2023-04-20T16:07:05.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-06-03T14:02:29.000Z (over 1 year ago)
• Last Synced: 2025-02-06T11:57:02.854Z (8 months ago)
• Topics: json, python, python-3, txt, txt-files
• Homepage:
• Size: 3.99 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Text Processing Minor Project 📝

Welcome to the **Text Processing and Information Application**! 🚀 As part of this project, I've leveraged object-oriented programming (OOP) concepts to build a powerful tool for handling text data. Let's dive into what this application can do:

## Features:

1. **Read a Text File:**

   - Our application can read text files, extracting valuable information from them.

2. **Unique Word Count:**

   - We analyze the text and determine the number of unique words present. No more duplicate words slipping through the cracks!

3. **Total Word Count:**

   - Curious about the total word count? Our app has you covered. It counts all the words in the input text.

4. **Word Frequency Dictionary:**

   - We create a dictionary that contains the count of each word. This dictionary is then saved to a JSON file for easy access and sharing.

5. **Lowercase Conversion and Word Occurrence:**

   - All words are converted to lowercase to ensure consistency.

   - We also count the occurrence of each word (case-insensitive) and save this information to another JSON file.

6. **Whitespace Cleanup:**

   - Extra whitespace can be pesky. Our app removes any additional whitespace, ensuring clean and tidy text.

7. **Special Character Removal:**

   - Special characters cluttering your text? Fear not! We eliminate them, leaving only the essential content.

8. **Save Output:**

   - Finally, we save the processed output to a new text file, ready for further analysis or sharing.

## How to Use:

1. Clone this repository.

2. Run the application.

3. Provide the path to your text file.

4. Explore the results!

Feel free to contribute, enhance, or customize this project. Happy text processing! 🎉