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For a document, Extracted keywords differ when the document is passed in solo v/s it is passed in batch of multiple documents (batch size=64)
And more keywords are extracted when it is passed in so…
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My collaborators and I were experimenting with FinBERT by comparing the results of your code from the Finbert Model Example notebook to the results of using the transformer code in a HuggingFace pipel…
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I succeeded in training model with executing finbert_training.ipynb. Then I ran a docker conatiner from Dockerfile and threw POST request to container(localhost:8080), which showed me the following er…
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Hi @yya518 ,
Thank you so much for sharing this wonderful work.
I have read the repo and [medium ](https://medium.com/prosus-ai-tech-blog/finbert-financial-sentiment-analysis-with-bert-b277a360…
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Your work is great, and thank you very much!
By the way , can you kindly tell me how to use the trained model to evaluate new dataset file (like a csv file) ? This will be more userful to see the pr…
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@EricFillion I am getting an error that a few days ago I did not have, this happens when I try to load the model that I have saved.
## Traceback
```python
File "/home/ubuntu/IS-API/SentiApp/DIS…
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Thank you for the great library.
I went through example and there are only labels, i.e. positive, neutral and negative for the text's sentiment. I'm wondering if there's any score or probability de…
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Dear all,
first of all: I'm very new to this community, so please forgive me when this is the wrong place for my question or it lacks necessary information (feedback is welcome).
My question…
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Hello!
Since FinBERT is further trained on BERT, and the original BERT has its own tokenizer, I suppose you are not training your own tokenizer to train the model, right? Otherwise, the model might g…