Text Analysis Application

This is a Natural Language Processing (NLP) application that provides comprehensive analysis of text input, including various statistics and visualizations. The application is available both as a Python module and as a web application.

Features

• Basic text statistics (character count, word count, sentence count, etc.)
• Sentiment analysis (polarity and subjectivity)
• Word frequency analysis
• N-gram analysis
• Part of Speech (POS) tagging
• Visual representations of word frequency and sentiment distribution
• Modern web interface for easy text analysis

Installation

1. Clone this repository
2. Install the required dependencies:

pip install -r requirements.txt

Usage

Web Application

1. Start the web server:

python app.py

2. Open your web browser and navigate to:

http://localhost:5000

3. Enter your text in the text area and click "Analyze Text" to see the results.

Python Module

You can also use the text analyzer in your Python code:

from text_analyzer import analyze_text

text = "Your text to analyze here"
results = analyze_text(text)

Output

The application provides:

• Detailed statistics about the text
• Sentiment analysis results
• Word frequency distribution
• N-gram analysis
• Part of Speech distribution
• Visual plots for word frequency and sentiment distribution

Dependencies

• nltk
• textblob
• pandas
• matplotlib
• seaborn
• flask