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Using Hugging Face, I have developed three unique sentiment analysis models to enhance text data understanding across different languages and formats: English Sentiment Analysis Model: Utilizes the cardiffnlp/twitter-roberta-base-sentiment model to classify English text into Positive, Negative, or Neutral sentiments. Arabic Sentiment Analysis Model: Leverages the CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment model for sentiment analysis of Arabic text, providing insights for Arabic content. Emoji-Based Sentiment Analysis Model: Uses the cardiffnlp/twitter-roberta-large-emoji-latest model to classify sentiments expressed through emojis, ideal for social media and informal text analysis. Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference