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README.md
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## Overview
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The model is more optimized for hinglish + emojis and emojis seem to take more attention than the hinglish words.
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The model was fine-tuned with dataset: mteb/tweet_sentiment_extraction from huggingface
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converted to hinglish text.
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## Overview
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The model is more optimized for hinglish + emojis and emojis seem to take more attention than the hinglish words.
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This may be due to the base model being trained for emoji classification and then later trained for sentiment analysis.
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This model is better if emojis are to be also included for sentiment analysis.
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No Evaluation is done for data with only text and no emojis.
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The model was fine-tuned with dataset: mteb/tweet_sentiment_extraction from huggingface
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converted to hinglish text.
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