Evaluation metrics are used to evaluate the performance of word embeddings on NLP tasks such as text classification and sentiment analysis. Common evaluation metrics include accuracy, precision, recall, and F1-score.
Evaluation metrics are used to evaluate the performance of word embeddings on NLP tasks such as text classification and sentiment analysis. Common evaluation metrics include accuracy, precision, recall, and F1-score.