onirestart · onirestart · Oct 15, 2025 · Oct 15, 2025
diff --git a/Emoji_Sentiment_Analyzer/README.md b/Emoji_Sentiment_Analyzer/README.md
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+# Emoji Sentiment Analyzer
+
+A Python tool that analyzes the sentiment of text based on emojis present in it.
+
+## Description
+
+This Emoji Sentiment Analyzer extracts emojis from text and determines the overall sentiment (positive, negative, or neutral) based on emoji classifications. The tool uses regex patterns to identify emojis and maintains dictionaries of emoji categories to calculate sentiment scores.
+
+## Features
+
+- **Emoji Extraction**: Automatically extracts all emojis from input text using regex patterns
+- **Sentiment Analysis**: Categorizes emojis as positive, negative, or neutral
+- **Sentiment Scoring**: Calculates a normalized sentiment score based on emoji distribution
+- **Detailed Breakdown**: Provides counts of each emoji category found
+- **Multiple Text Support**: Can analyze multiple texts in batch
+
+## Requirements
+
+- Python 3.6+
+- No external dependencies required (uses only standard library)
+
+## Usage
+
+```python
+from emoji_sentiment_analyzer import EmojiSentimentAnalyzer
+
+# Create analyzer instance
+analyzer = EmojiSentimentAnalyzer()
+
+# Analyze text
+text = "I love this! 😍🥰❤️"
+result = analyzer.analyze_sentiment(text)
+
+print(f"Sentiment: {result['sentiment']}")
+print(f"Score: {result['score']}")
+print(f"Emojis found: {result['emojis_found']}")
+```
+
+## Running the Script
+
+```bash
+python emoji_sentiment_analyzer.py
+```
+
+## Output Format
+
+The analyzer returns a dictionary containing:
+- `sentiment`: Overall sentiment classification ('positive', 'negative', or 'neutral')
+- `score`: Normalized sentiment score between -1 and 1
+- `emoji_count`: Total number of emojis found
+- `positive_emojis`: Count of positive emojis
+- `negative_emojis`: Count of negative emojis
+- `neutral_emojis`: Count of neutral emojis
+- `emojis_found`: List of all emojis extracted
+
+## Example Output
+
+```
+Emoji Sentiment Analysis Results:
+==================================================
+
+Text: I love this! 😍🥰❤️
+Sentiment: POSITIVE
+Score: 1.0
+Emojis found: 😍 🥰 ❤️
+Breakdown - Positive: 3, Negative: 0, Neutral: 0
+```
+
+## Author
+
+Created as part of the 100 Lines of Python Code project.
+
+## Issue Reference
+
+Resolves #759 - Emoji Sentiment Analyzer
diff --git a/Emoji_Sentiment_Analyzer/emoji_sentiment_analyzer.py b/Emoji_Sentiment_Analyzer/emoji_sentiment_analyzer.py
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+#!/usr/bin/env python3
+"""
+Emoji Sentiment Analyzer
+Analyzes the sentiment of text based on emojis present in it.
+"""
+
+import re
+from collections import Counter
+from typing import Dict, List, Tuple
+
+
+class EmojiSentimentAnalyzer:
+    """Analyzes sentiment based on emojis in text."""
+
+    def __init__(self):
+        """Initialize the analyzer with emoji sentiment mappings."""
+        self.positive_emojis = {
+            '😀', '😃', '😄', '😁', '😆', '😊', '☺️', '😇', '🙂', '🙃',
+            '😉', '😌', '😍', '🥰', '😘', '😗', '😙', '😚', '🤗', '🤩',
+            '🥳', '😎', '🤓', '🥸', '👍', '👏', '🙌', '👌', '🤝', '💪',
+            '❤️', '🧡', '💛', '💚', '💙', '💜', '🤎', '🖤', '🤍', '💖',
+            '💗', '💓', '💞', '💕', '💟', '❣️', '✨', '⭐', '🌟', '💫'
+        }
+
+        self.negative_emojis = {
+            '😠', '😡', '🤬', '😤', '😭', '😢', '😥', '😰', '😨', '😱',
+            '😖', '😣', '😞', '😓', '😩', '😫', '🥺', '😿', '😾', '💔',
+            '👎', '🙁', '☹️', '😦', '😧', '😮', '😯', '😲', '😳', '🥵',
+            '🥶', '😬', '🙄', '😑', '😐', '😒', '🙃', '😔', '😕', '🙁'
+        }
+
+        self.neutral_emojis = {
+            '😐', '😑', '🤔', '🤨', '🧐', '🤫', '🤭', '🙊', '🙉', '🙈',
+            '💭', '💬', '🗨️', '🗯️', '💤', '👀', '👁️'
+        }
+
+    def extract_emojis(self, text: str) -> List[str]:
+        """Extract all emojis from the given text."""
+        emoji_pattern = re.compile(
+            "["
+            "\U0001F600-\U0001F64F"  # emoticons
+            "\U0001F300-\U0001F5FF"  # symbols & pictographs
+            "\U0001F680-\U0001F6FF"  # transport & map symbols
+            "\U0001F1E0-\U0001F1FF"  # flags
+            "\U00002702-\U000027B0"
+            "\U000024C2-\U0001F251"
+            "]+", flags=re.UNICODE
+        )
+        return emoji_pattern.findall(text)
+
+    def analyze_sentiment(self, text: str) -> Dict[str, any]:
+        """Analyze sentiment based on emojis in the text."""
+        emojis = self.extract_emojis(text)
+
+        if not emojis:
+            return {
+                'sentiment': 'neutral',
+                'score': 0.0,
+                'emoji_count': 0,
+                'details': 'No emojis found'
+            }
+
+        positive_count = sum(1 for emoji in emojis if emoji in self.positive_emojis)
+        negative_count = sum(1 for emoji in emojis if emoji in self.negative_emojis)
+        neutral_count = sum(1 for emoji in emojis if emoji in self.neutral_emojis)
+
+        total_emojis = len(emojis)
+        sentiment_score = (positive_count - negative_count) / total_emojis
+
+        if sentiment_score > 0.2:
+            sentiment = 'positive'
+        elif sentiment_score < -0.2:
+            sentiment = 'negative'
+        else:
+            sentiment = 'neutral'
+
+        return {
+            'sentiment': sentiment,
+            'score': round(sentiment_score, 2),
+            'emoji_count': total_emojis,
+            'positive_emojis': positive_count,
+            'negative_emojis': negative_count,
+            'neutral_emojis': neutral_count,
+            'emojis_found': emojis
+        }
+
+
+def main():
+    """Main function to demonstrate emoji sentiment analysis."""
+    analyzer = EmojiSentimentAnalyzer()
+
+    # Example texts
+    test_texts = [
+        "I love this! 😍🥰❤️",
+        "This is terrible 😡😤😠",
+        "Not sure about this 🤔🤨",
+        "Great day today! 😊👍✨",
+        "Feeling sad 😢😭💔"
+    ]
+
+    print("Emoji Sentiment Analysis Results:")
+    print("=" * 50)
+
+    for text in test_texts:
+        result = analyzer.analyze_sentiment(text)
+        print(f"\nText: {text}")
+        print(f"Sentiment: {result['sentiment'].upper()}")
+        print(f"Score: {result['score']}")
+        print(f"Emojis found: {' '.join(result['emojis_found'])}")
+        print(f"Breakdown - Positive: {result['positive_emojis']}, "
+              f"Negative: {result['negative_emojis']}, "
+              f"Neutral: {result['neutral_emojis']}")
+
+
+if __name__ == "__main__":
+    main()