savan77/EmotionDetectionBERT
Multi Emotion Detection from COVID-19 Text using BERT
This helps researchers, public health officials, or social scientists understand how people felt during the COVID-19 pandemic. By analyzing text data, it identifies multiple emotions expressed in the text, providing insights into public sentiment. It takes text about COVID-19 as input and outputs the detected emotions like 'Anger,' 'Joy,' or 'Sadness' for each piece of text.
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Use this if you need to automatically detect and analyze the emotional tone in large collections of COVID-19 related text, such as social media posts, news articles, or survey responses.
Not ideal if your text data is not related to COVID-19 or if you only need to detect a single emotion per text.
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Jul 25, 2024
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