What is accuracy in Natural Language Processing?
An example of an AI chatbot conversation about understanding accuracy in NLP.
What is accuracy in Natural Language Processing?
Accuracy in NLP refers to the proportion of correct predictions made by a model compared to the total predictions.
How is accuracy measured in NLP tasks?
Accuracy is typically measured using metrics like precision, recall, and F1 score, depending on the task.
Can you give an example of accuracy in a sentiment analysis task?
Sure! If a sentiment analysis model correctly identifies 80 out of 100 reviews as positive or negative, its accuracy is 80%.
What are the limitations of using accuracy as a metric?
Accuracy can be misleading, especially in imbalanced datasets where one class dominates the other.
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