Welcome to Texticalysis, a mesmerizing exploration into the enigmatic world of words and language. This repository hosts an intricate C-based toolkit that brings to life the beauty of text analysis. By harnessing the power of AVL trees and advanced algorithms, Texticalysis empowers you to delve into word frequencies, sentiment analysis, and more.
- Advanced AVL Trees: Uncover the secrets of text data using efficient data structures.
- Word Frequency Analysis: Gain insights into the prevalence of words in text.
- Top N Frequencies: Identify the most frequently occurring words with ease.
- Lexicographic Order: Maintain the beauty of lexicographic order while analyzing text.
- Clone the repository:
git clone https://github.com/your-username/Texticalysis-Unveiling-the-Magic-Within-Words.git - Compile the code:
gcc -o texticalysis Dict.c main.c -lm - Run the executable:
./texticalysis - Dive into the world of text analysis using AVL trees and C magic!
Join us on this enchanting journey of text analysis! Feel free to fork the repository, create a feature branch, and submit a pull request.
This project draws inspiration from the artistry of language and the precision of algorithms. Special acknowledgments to the academic foundation and references that fueled the creation of Texticalysis.
This project is licensed under the MIT License.
Let's unveil the magic within words and unravel their stories 📜✨