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In this code, we have used common and well-known datasets such as the Toronto dataset available on Kaggle to create a sentiment analysis model from human voice. This model is designed based on the Bert model and is called Hubert.
Generates section wise topics and transcription for lecture videos and helps to control the lecture video playback based on generated topic-wise timestamps.