Abstract
The authors divide the book into natural language features, machine learning with text and deep learning with text. Overall, this book provides an excellent and practical guide for incorporating textual data into the workflow of supervised learning problems. From a technical perspective, it is rigorous in its detailing of key steps in the processing and preparation of text, including potential pitfalls and biases that can be introduced into analyses by the unwary.
| Original language | English |
|---|---|
| Pages (from-to) | 1-1 |
| Number of pages | 1 |
| Journal | Journal of the Royal Statistical Society. Series A: Statistics in Society |
| Early online date | 5 Jun 2022 |
| DOIs | |
| Publication status | Published - 5 Jun 2022 |
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