install.sh

#!/bin/bash
# Installation script for NLP Text Analysis Bot
# Developer: RSK World
# Website: https://rskworld.in
# Email: help@rskworld.in
# Phone: +91 93305 39277
# Year: 2026

echo "Installing NLP Text Analysis Bot..."
echo "Developer: RSK World - https://rskworld.in"

# Install Python dependencies
echo "Installing Python dependencies..."
pip install -r requirements.txt

# Download spaCy English model
echo "Downloading spaCy English model..."
python -m spacy download en_core_web_sm

# Download NLTK data
echo "Downloading NLTK data..."
python -c "import nltk; nltk.download('punkt'); nltk.download('stopwords'); nltk.download('wordnet'); nltk.download('vader_lexicon'); nltk.download('averaged_perceptron_tagger')"

echo "Installation complete!"
echo "Run 'python app.py' to start the application."

27 lines•808 B

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PROJECT_STATUS.md

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PROJECT_STATUS.md

# Project Status - NLP Text Analysis Bot

**Developer: RSK World**
**Website: https://rskworld.in**
**Email: help@rskworld.in**
**Phone: +91 93305 39277**
**Year: 2026**

## ✅ Project Completion Status

### Core Files - COMPLETE ✓
- [x] `app.py` - Flask application with error handling
- [x] `nlp_pipeline.py` - Main pipeline with comprehensive error handling
- [x] `config.py` - Configuration file
- [x] `requirements.txt` - All dependencies listed

### NLP Modules - COMPLETE ✓
- [x] `text_preprocessing.py` - Text cleaning and preprocessing
- [x] `sentiment_analysis.py` - Sentiment analysis (VADER + Transformers)
- [x] `entity_recognition.py` - Named entity recognition
- [x] `semantic_understanding.py` - Semantic analysis
- [x] `text_summarization.py` - Text summarization
- [x] `language_detection.py` - Language detection
- [x] `text_classification.py` - Text classification
- [x] `readability_analysis.py` - Readability metrics
- [x] `emotion_detection.py` - Emotion detection
- [x] `advanced_keywords.py` - TF-IDF keyword extraction
- [x] `pos_tagging.py` - Part-of-speech tagging
- [x] `text_similarity.py` - Text similarity calculation

### Web Interface - COMPLETE ✓
- [x] `templates/index.html` - Complete web interface with all features
- [x] `static/css/style.css` - Custom styles
- [x] `static/js/main.js` - JavaScript functions

### Documentation - COMPLETE ✓
- [x] `README.md` - Complete project documentation
- [x] `QUICKSTART.md` - Quick start guide
- [x] `ADVANCED_FEATURES.md` - Advanced features documentation
- [x] `PROJECT_INFO.md` - Project information
- [x] `CHANGELOG.md` - Change log
- [x] `LICENSE` - MIT License

### Testing & Utilities - COMPLETE ✓
- [x] `test_analysis.py` - Test script
- [x] `example_usage.py` - Usage examples
- [x] `validate_project.py` - Project validation script
- [x] `setup.py` - Package setup
- [x] `.gitignore` - Git ignore rules

### Installation Scripts - COMPLETE ✓
- [x] `install.sh` - Linux/Mac installation script
- [x] `install.bat` - Windows installation script

## ✅ Error Handling - IMPLEMENTED

### API Error Handling ✓
- [x] Input validation
- [x] JSON content-type checking
- [x] Empty text validation
- [x] Type checking
- [x] Comprehensive error messages

### Pipeline Error Handling ✓
- [x] Individual module error handling
- [x] Graceful fallbacks
- [x] Error logging
- [x] Safe defaults for missing data

### Frontend Error Handling ✓
- [x] Error display in UI
- [x] Loading states
- [x] Error messages
- [x] Safe data access

## ✅ Features Implemented

### Core Features
1. Text Preprocessing ✓
2. Sentiment Analysis ✓
3. Entity Recognition ✓
4. Semantic Understanding ✓

### Advanced Features
5. Text Summarization ✓
6. Language Detection ✓
7. Text Classification ✓
8. Emotion Detection ✓
9. Readability Analysis ✓
10. Advanced Keywords (TF-IDF) ✓
11. Part-of-Speech Tagging ✓
12. Text Similarity ✓

## ✅ API Endpoints

- [x] `GET /` - Web interface
- [x] `POST /api/analyze` - Complete text analysis
- [x] `POST /api/similarity` - Text similarity calculation
- [x] `GET /api/health` - Health check

## ✅ Dependencies

All required dependencies are listed in `requirements.txt`:
- Flask ✓
- NLTK ✓
- spaCy ✓
- Transformers ✓
- scikit-learn ✓
- langdetect ✓
- textstat ✓
- torch ✓
- numpy ✓

## ✅ Code Quality

- [x] No linter errors
- [x] All imports valid
- [x] Proper error handling
- [x] Code comments with developer info
- [x] Consistent code style

## 🎯 Project Ready Status

**STATUS: ✅ COMPLETE AND READY TO USE**

All files have been checked, errors fixed, and missing components added. The project is fully functional and ready for deployment.

### Next Steps:
1. Run `python validate_project.py` to verify installation
2. Run `python app.py` to start the server
3. Access `http://localhost:5000` in your browser

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**Developed by RSK World - 2026**

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PROJECT_STATUS.md