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Обработка естественного языка. Python и spaCy на практике.
Васильев Юлий
2021


Python и spaCy помогут вам быстро и легко создавать NLP-приложения: чат-боты, сценарии для сокращения текста или инструменты принятия заказов.

Вы научитесь использовать spaCy для интеллектуального анализа текста, определять синтаксические связи между словами, идентифицировать части речи, а также определять категории для имен собственных.

Язык: Русский 🇷🇺

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🛒 Купить печатную версию

#книга #Python #rus



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Обработка естественного языка. Python и spaCy на практике.
Васильев Юлий
2021


Python и spaCy помогут вам быстро и легко создавать NLP-приложения: чат-боты, сценарии для сокращения текста или инструменты принятия заказов.

Вы научитесь использовать spaCy для интеллектуального анализа текста, определять синтаксические связи между словами, идентифицировать части речи, а также определять категории для имен собственных.

Язык: Русский 🇷🇺

💾 Скачать PDF

🛒 Купить печатную версию

#книга #Python #rus

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Since the violent storming of Capitol Hill and subsequent ban of former U.S. President Donald Trump from Facebook and Twitter, the removal of Parler from Amazon’s servers, and the de-platforming of incendiary right-wing content, messaging services Telegram and Signal have seen a deluge of new users. In January alone, Telegram reported 90 million new accounts. Its founder, Pavel Durov, described this as “the largest digital migration in human history.” Signal reportedly doubled its user base to 40 million people and became the most downloaded app in 70 countries. The two services rely on encryption to protect the privacy of user communication, which has made them popular with protesters seeking to conceal their identities against repressive governments in places like Belarus, Hong Kong, and Iran. But the same encryption technology has also made them a favored communication tool for criminals and terrorist groups, including al Qaeda and the Islamic State.

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