|Python Natural Language Processing Cookbook (Packt)|
|Monday, 12 April 2021|
This book will take you through a range of techniques for text processing, from basics such as parsing the parts of speech to complex topics such as topic modeling, text classification, and visualization. Zhenya Antić shows how to solve real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualization.
The recipes in the book cover different ways of representing the semantics using bag-of-words, TF-IDF, word embeddings, and BERT, and develop skills for text classification using keywords, SVMs, LSTMs, and other techniques. The book also shows how to develop chatbots using NLTK and Rasa and visualize text data.
Author: Zhenya Antić
For more Book Watch just click.
Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.
To have new titles included in Book Watch contact BookWatch@i-programmer.info