Get scores from inferences from the Text_Classification_Sentiment_Analysis script
Hello everyone, I trained a model with Text_Classification_Sentiment_Analysis.ipynb and I would like to know if I can extract the scores for each sentiment e.g.:

"I answered a call" is a neutral phrase, what score does the engine understand that this phrase is neutral rather than positive or negative?
Is it possible to obtain this information?
I'm using extraction this way

```
model = nemo_nlp.models.TextClassificationModel.restore_from("path/model")

l_results = model.classifytext(queries=keys_list, batch_size=3, max_seq_length=512)
```