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RSK World
nlp-text-analysis-bot
RSK World
nlp-text-analysis-bot
NLP Text Analysis Bot - Python + NLP + Flask + Machine Learning + Text Analysis + AI
nlp-text-analysis-bot
  • static
  • templates
  • .gitignore393 B
  • ADVANCED_FEATURES.md5.4 KB
  • CHANGELOG.md1.3 KB
  • FINAL_CHECK.md4.6 KB
  • GITHUB_RELEASE_INSTRUCTIONS.md4.1 KB
  • LICENSE1.2 KB
  • PROJECT_INFO.md2.7 KB
  • PROJECT_STATUS.md4 KB
  • QUICKSTART.md3.1 KB
  • README.md5.8 KB
  • RELEASE_NOTES.md3.8 KB
  • advanced_keywords.py3.9 KB
  • app.py3 KB
  • config.py668 B
  • emotion_detection.py4.3 KB
  • entity_recognition.py3 KB
  • example_usage.py2.7 KB
  • install.bat853 B
  • install.sh808 B
  • language_detection.py2.7 KB
  • nlp_pipeline.py7.1 KB
  • pos_tagging.py2.9 KB
  • readability_analysis.py3.5 KB
  • requirements.txt334 B
  • semantic_understanding.py4 KB
  • sentiment_analysis.py3.9 KB
  • setup.py1.4 KB
  • test_analysis.py2.5 KB
  • text_classification.py5 KB
  • text_preprocessing.py4.2 KB
  • text_similarity.py4.1 KB
  • text_summarization.py5 KB
  • validate_project.py4.2 KB
chatbot.pyvalidate_project.pylanguage_detection.py
validate_project.py
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"""
Project Validation Script
Validates all modules and dependencies

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

import sys
import importlib

def check_imports():
    """
    Check if all required modules can be imported
    Developer: RSK World - https://rskworld.in
    """
    modules = [
        'flask',
        'nltk',
        'spacy',
        'transformers',
        'sklearn',
        'langdetect',
        'textstat',
        'numpy',
        'torch'
    ]
    
    print("Checking Python module imports...")
    print("=" * 50)
    
    missing_modules = []
    for module in modules:
        try:
            if module == 'sklearn':
                importlib.import_module('sklearn')
            else:
                importlib.import_module(module)
            print(f"✓ {module}")
        except ImportError:
            print(f"✗ {module} - MISSING")
            missing_modules.append(module)
    
    print("=" * 50)
    
    if missing_modules:
        print(f"\nMissing modules: {', '.join(missing_modules)}")
        print("Please install them using: pip install -r requirements.txt")
        return False
    else:
        print("\nAll required modules are installed!")
        return True

def check_project_modules():
    """
    Check if all project modules can be imported
    Developer: RSK World - https://rskworld.in
    """
    project_modules = [
        'text_preprocessing',
        'sentiment_analysis',
        'entity_recognition',
        'semantic_understanding',
        'text_summarization',
        'language_detection',
        'text_classification',
        'readability_analysis',
        'emotion_detection',
        'advanced_keywords',
        'pos_tagging',
        'text_similarity',
        'nlp_pipeline',
        'app'
    ]
    
    print("\nChecking project modules...")
    print("=" * 50)
    
    missing_modules = []
    for module in project_modules:
        try:
            importlib.import_module(module)
            print(f"✓ {module}.py")
        except ImportError as e:
            print(f"✗ {module}.py - ERROR: {e}")
            missing_modules.append(module)
    
    print("=" * 50)
    
    if missing_modules:
        print(f"\nMissing or broken modules: {', '.join(missing_modules)}")
        return False
    else:
        print("\nAll project modules are available!")
        return True

def check_spacy_model():
    """
    Check if spaCy model is installed
    Developer: RSK World - https://rskworld.in
    """
    print("\nChecking spaCy model...")
    print("=" * 50)
    
    try:
        import spacy
        nlp = spacy.load("en_core_web_sm")
        print("✓ spaCy English model (en_core_web_sm) is installed")
        return True
    except OSError:
        print("✗ spaCy English model (en_core_web_sm) is NOT installed")
        print("Please install it using: python -m spacy download en_core_web_sm")
        return False

def main():
    """
    Main validation function
    Developer: RSK World - https://rskworld.in
    """
    print("NLP Text Analysis Bot - Project Validation")
    print("Developer: RSK World - https://rskworld.in")
    print("=" * 50)
    
    results = []
    
    # Check imports
    results.append(("Python Dependencies", check_imports()))
    
    # Check project modules
    results.append(("Project Modules", check_project_modules()))
    
    # Check spaCy model
    results.append(("spaCy Model", check_spacy_model()))
    
    # Summary
    print("\n" + "=" * 50)
    print("VALIDATION SUMMARY")
    print("=" * 50)
    
    all_passed = True
    for name, passed in results:
        status = "PASS" if passed else "FAIL"
        print(f"{name}: {status}")
        if not passed:
            all_passed = False
    
    print("=" * 50)
    
    if all_passed:
        print("\n✓ All checks passed! Project is ready to use.")
        return 0
    else:
        print("\n✗ Some checks failed. Please fix the issues above.")
        return 1

if __name__ == '__main__':
    sys.exit(main())

162 lines•4.2 KB
python
language_detection.py
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"""
Language Detection Module
Detects the language of input text

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

from langdetect import detect, detect_langs, LangDetectException
import re

class LanguageDetector:
    """
    Language detection class
    Developer: RSK World - https://rskworld.in
    """
    
    def __init__(self):
        """Initialize language detector"""
        pass
    
    def detect_language(self, text):
        """
        Detect the primary language of text
        
        Args:
            text (str): Input text
            
        Returns:
            dict: Language detection results
        """
        # Clean text for better detection
        cleaned_text = re.sub(r'[^\w\s]', '', text)
        cleaned_text = ' '.join(cleaned_text.split())
        
        if len(cleaned_text) < 3:
            return {
                'language': 'unknown',
                'confidence': 0.0,
                'all_languages': []
            }
        
        try:
            # Detect primary language
            primary_lang = detect(cleaned_text)
            
            # Get all language probabilities
            lang_probabilities = detect_langs(cleaned_text)
            
            all_languages = [
                {
                    'language': lang.lang,
                    'probability': lang.prob
                }
                for lang in lang_probabilities[:5]  # Top 5
            ]
            
            # Get confidence for primary language
            confidence = next(
                (lang.prob for lang in lang_probabilities if lang.lang == primary_lang),
                0.0
            )
            
            return {
                'language': primary_lang,
                'confidence': confidence,
                'all_languages': all_languages
            }
        except LangDetectException:
            return {
                'language': 'unknown',
                'confidence': 0.0,
                'all_languages': []
            }
        except Exception as e:
            print(f"Error in language detection: {e}")
            return {
                'language': 'unknown',
                'confidence': 0.0,
                'all_languages': []
            }
    
    def is_english(self, text):
        """
        Check if text is in English
        
        Args:
            text (str): Input text
            
        Returns:
            bool: True if English, False otherwise
        """
        result = self.detect_language(text)
        return result['language'] == 'en' and result['confidence'] > 0.5

99 lines•2.7 KB
python
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Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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