Äåòàëüíàÿ èíôîðìàöèÿ îá èçäàíèè

Àâòîð:

Äðóãèå àâòîðû:

Klein Ewan
Loper Edward

Çàãëàâèå:

Natural Language Processing With Python

Òèï íîñèòåëÿ:

Îäíîòîìíèê.

Ìåñòî èçäàíèÿ:

Cambridge

Èçäàòåëüñòâî:

O'Reilly

Ãîä èçäàíèÿ:

2009

Îáúåì:

[ÕÕ], 479, [2] p.

Íàçâàíèå ñåðèè:

Analyzing text with the natural language toolkit

Àííîòàöèÿ:

In my opinion, the only kind that will find this book suitable and useful is (1). If you—re familiar with Python and know no NLP it won—t help you much, because it doesn—t really teach NLP. It shows a few domains of this vast field, with nice code examples and all, but you should probably start with some introductory textbook on the subject or a course. You won—t really learn NLP here. The book—s focus is mostly on the NLTK library written in Python by the authors. This library implements many NLP algorithms and comes with lots of data for testing and training. Almost no algorithms are implemented in the book — some are explained, and the code always imports the required modules from NLTK and shows their usage. The Python code is well-written and clean. To conclude, if you—re a NLP researcher or student, this is a very good book to read. Especially if you plan to start working with NLTK (which seems like a mature and powerful tool) — this book will serve as a great introduction. If you have other interests, this is probably not the right book.

ISBN:

978-0-596-51649-9

ßçûê:

Àíãëèéñêèé

ÁÁÊ:

Ðàçìåðû èçäàíèÿ:

23 cì.

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