Text analytics with Python : a practical guide to natural language processing
[S. l.] : Apress, c2019
Abstract:
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. How to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by revie ...; [read all]
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Description | Text analytics with Python : a practical guide to natural language processing / Dipanjan Sarkar. - 2nd ed. - [S. l.] : Apress, c2019. - xxiv, 674 p. ; 24 cm. |
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ID file | 23270 |
Permalink | https://inapp.infoteca.it/?ids=23270 |
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Library | Inv. | Sec. | Collocation | State | Status | Reservations |
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Biblioteca INAPP | 13266 | CDS - Corrente | CDS 02723 | Available | On loan until: 11/02/2024 | None |