Supervised Machine Learning for Text Analysis in R

Supervised Machine Learning for Text Analysis in R

Silge, Julia; Hvitfeldt, Emil

Taylor & Francis Ltd

11/2021

402

Dura

Inglês

9780367554187

15 a 20 dias

771

Descrição não disponível.
1. Language and modeling. 2. Tokenization. 3. Stop words. 4. Stemming. 5. Word Embeddings. 6. Regression. 7. Classification. 8. Dense neural networks. 9. Long short-term memory (LSTM) networks. 10. Convolutional neural networks.
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Supervised Machine Learning;Deep Learning Models;predictive modeling;Roc Curve;statistical modeling;Removing Stop Words;natural language processing;Stop Words;feature engineering;Stop Word List;text mining;Resampled Data Sets;text classification;Kickstarter Campaign Success;Dense;Word Embeddings;SVM;Data Sets;Training Data;United States Supreme Court Opinions;Naive Bayes Models;Fairy Tales;Text Data Set;Machine Learning Model;Single Training Set;Embedding Layer;Validation Set;Null Model;CNN Model;Text Data