📊 Text Analyzer Pro

A comprehensive Python-based NLP tool designed to process unstructured text and extract meaningful data insights through a modern graphical desktop interface.

🚀 Key Features

• 🧠 Local NLP Sentiment Analysis: Utilizes a local machine learning model (TextBlob) to determine the emotional polarity (Positive, Negative, or Neutral) of any text without needing external APIs.
• 📂 Document Parsing: Seamlessly extract and analyze text directly from uploaded .pdf and .docx files.
• 📈 Advanced Word Frequency: Identifies both the top 5 most used words and the least frequent words while automatically filtering out "noise" (common stop words).
• 📝 Sentence Analytics: Tracks total sentence counts and identifies recurring sentence patterns.
• 🖥️ Modern Dashboard: Built with a sleek, dark-mode CustomTkinter interface for a high-quality user experience.
• 🔤 Character Mapping: Analyzes the distribution of every letter (A-Z) used in the text.

🛠️ Technical Implementation

• Language: Python 3
• GUI Framework: CustomTkinter
• NLP Engine: TextBlob (Local ML Model)
• Document Processing: PyPDF, Python-docx
• Architecture: Modular design with dedicated components for word, sentence, sentiment, and file processing.