Hello there! Sorry for the provocative question but consider this simple example
from transformers import pipeline

classifier = pipeline(task = 'sentiment-analysis')

classifier('this is so good!')
Out[4]: [{'label': 'POSITIVE', 'score': 0.9998476505279541}]

classifier('this is so gooood!')
Out[5]: [{'label': 'NEGATIVE', 'score': 0.9922532439231873}]

How can gooood be treated as negative with a very high confidence score? How can I fix this behavior?
Thanks!