Natural language processing has achieved impressive results! However, ...
"“The [sentiment analysis] failure rate is near 100% for all commercial models when the negation comes at the end of the sentence (e.g. ‘I thought the plane would be awful, but it wasn’t’), or with neutral content between the negation and the sentiment-laden word,” the paper reads."
AI researchers create testing tool to find bugs in NLP from Amazon, Google, and Microsoft | VentureBeat
Here is the underlying research paper: Semantically Equivalent Adversarial Rules for Debugging NLP models
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