Create an emoji usage tracker

Here is a simple implementation of an Emoji Usage Tracker in Python. This tool tracks how many times each emoji has been used in a given set of messages or text content.

python
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import re
from collections import defaultdict

# Emoji pattern using regex that matches most common emojis
emoji_pattern = re.compile(
    "[" 
    u"U0001F600-U0001F64F"  # Emoticons
    u"U0001F300-U0001F5FF"  # Symbols & Pictographs
    u"U0001F680-U0001F6FF"  # Transport & Map Symbols
    u"U0001F1E0-U0001F1FF"  # Flags (iOS)
    u"U00002700-U000027BF"  # Dingbats
    u"U0001F900-U0001F9FF"  # Supplemental Symbols and Pictographs
    u"U00002600-U000026FF"  # Misc symbols
    u"U0001FA70-U0001FAFF"  # Extended pictographs
    "]+", flags=re.UNICODE
)

class EmojiUsageTracker:
    def __init__(self):
        self.emoji_count = defaultdict(int)

    def add_text(self, text):
        emojis = emoji_pattern.findall(text)
        for emoji in emojis:
            self.emoji_count[emoji] += 1

    def get_usage_report(self, sort_by='count'):
        if sort_by == 'count':
            return sorted(self.emoji_count.items(), key=lambda item: item[1], reverse=True)
        elif sort_by == 'emoji':
            return sorted(self.emoji_count.items(), key=lambda item: item[0])
        else:
            return list(self.emoji_count.items())

    def reset_tracker(self):
        self.emoji_count.clear()

# Example usage
if __name__ == "__main__":
    tracker = EmojiUsageTracker()
    
    sample_texts = [
        "Hello 😊! How are you today? 😊😊",
        "Let's grab a coffee ☕️ and talk. ☕️☕️",
        "This is so funny 😂😂😂!",
        "Great job! 👍👍👍👍"
    ]
    
    for text in sample_texts:
        tracker.add_text(text)

    print("Emoji Usage Report:")
    for emoji, count in tracker.get_usage_report():
        print(f"{emoji}: {count}")

Features:

• Tracks any emojis in a text string.

• Aggregates emoji usage counts.

• Supports sorting by count or emoji character.

• Easy to reset and reuse.

Let me know if you want this adapted for a web dashboard, database integration, or real-time usage tracking in an app.