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I am predicting paragraph based on this model.
The output separates sentences randomly.
Certainly it has something to do with the fast the my data text is not clean.
I wonder whether this is a need for some others too.
Thank you.
The text was updated successfully, but these errors were encountered:
BERT has a max length limit of 512 tokens. It does not do any sentence-segmentation but treat the given input text as it is. You can segment your paragraph into sentences and calculate the sentence-based sentiment. Then, calculate paragraph-level sentiment over those.
I am predicting paragraph based on this model.
The output separates sentences randomly.
Certainly it has something to do with the fast the my data text is not clean.
I wonder whether this is a need for some others too.
Thank you.
The text was updated successfully, but these errors were encountered: