Natural language processing

Natural Language Processing (NLP) is a field in Artificial Intelligence, and is also related to linguistics. On a high level, the goal of NLP is to program computers to automatically understand human languages, and also to automatically write/speak in human languages.^[1] We say "Natural Language" to mean human language, and to indicate that we are not talking about computer (programming) languages.

References

↑ What is Natural Language Processing? | Data Basecamp (in en-US) (2022-04-02). Retrieved 2022-06-20.

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[1] What is Natural Language Processing? | Data Basecamp (in en-US) (2022-04-02). Retrieved 2022-06-20.

[1]

v t e Machine learning evaluation metrics
Regression	MSE MAE sMAPE MAPE MASE MSPE RMS RMSE/RMSD R² MDA MAD
Classification	F-score P4 Accuracy Precision Recall Kappa MCC AUC ROC Sensitivity and specificity Logarithmic Loss
Clustering	Silhouette Calinski-Harabasz Davies-Bouldin Dunn index Hopkins statistic Jaccard index Rand index Similarity measure SMC SimHash
Ranking	MRR DCG NDCG AP
Computer Vision	PSNR SSIM IoU
NLP	Perplexity BLEU
Deep Learning Related Metrics	Inception score FID
Recommender system	Coverage Intra-list Similarity
Similarity	Cosine similarity Euclidean distance Pearson correlation coefficient
Confusion matrix

Natural language processing

References

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