PDF WordCloud Generator

🇧🇷 Leia em Português

Overview

This project implements a PDF WordCloud Generator that extracts text from a PDF file, processes it by removing stopwords, numbers, and punctuation, and generates a word cloud based on word frequency analysis.

Key Features:

• Stopword Removal: Cleans the extracted text by removing stopwords based on the selected language.
• Word Frequency Analysis: Calculates word occurrences and highlights the most frequently used words.
• Word Cloud Generation: Displays a visually appealing word cloud using the wordcloud and matplotlib libraries.
• Multi-language Support: Supports stopword removal in multiple languages.

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Installation

To run this project, ensure you have Python 3.x installed. Additionally, you will need to install the required dependencies.

1. Clone the repository:

git clone https://github.com/JeanVerissimo/wordcloud-generator.git
cd wordcloud-generator

2. Install dependencies:

pip install pymupdf nltk wordcloud matplotlib

3. Download NLTK stopwords:

import nltk
nltk.download('stopwords')

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Usage

Run the main.py script to start the application. This script provides a GUI interface to select a PDF file, analyze its content, and generate a word cloud.

python main.py

Steps to Use:

1. Select Language: Choose a language from the dropdown menu.
2. Load PDF: Click the "Load PDF" button to select a file.
3. View Word Statistics: The extracted text is analyzed, and key statistics such as total words, unique words, and word frequency are displayed.
4. Generate Word Cloud: Click the "Generate WordCloud" button to visualize the most frequent words.

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