Applied text analysis with Python : enabling language-aware data products with machine learning
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data source...
Enregistré dans:
Auteurs principaux : | , , |
---|---|
Format : | Livre |
Langue : | anglais |
Titre complet : | Applied text analysis with Python : enabling language-aware data products with machine learning / Benjamin Bengfort, Rebecca Bilbro and Tony Ojeda |
Publié : |
Sebastopol, CA. :
O'Reilly Media
, C 2018 |
Description matérielle : | 1 vol. (XVIII-310 p.) |
Sujets : | |
Documents associés : | Autre format:
Applied text analysis with Python |
LEADER | 02789cam a2200529 4500 | ||
---|---|---|---|
001 | PPN230669905 | ||
003 | http://www.sudoc.fr/230669905 | ||
005 | 20201106061600.0 | ||
010 | |a 978-1-4919-6304-3 |b br. |d 59.99 USD | ||
010 | |a 1-4919-6304-2 |b br. | ||
035 | |a (OCoLC)1057373068 | ||
035 | |a ocn962257016 | ||
035 | |z ocm962233990 | ||
035 | |a CHVBK517097931 | ||
035 | |a CHBIS011047136 | ||
073 | 2 | |a 9781491963043 | |
100 | |a 20181008h20182018k y0frey0103 ba | ||
101 | 0 | |a eng | |
102 | |a US | ||
105 | |a a zc 001yy | ||
106 | |a r | ||
181 | |6 z01 |c txt |2 rdacontent | ||
181 | 1 | |6 z01 |a i# |b xxxe## | |
182 | |6 z01 |c n |2 rdamedia | ||
182 | 1 | |6 z01 |a n | |
183 | 1 | |6 z01 |a nga |2 rdacarrier | |
200 | 1 | |a Applied text analysis with Python |e enabling language-aware data products with machine learning |f Benjamin Bengfort, Rebecca Bilbro and Tony Ojeda | |
214 | 0 | |a Sebastopol, CA. |c O'Reilly Media | |
214 | 4 | |d C 2018 | |
215 | |a 1 vol. (XVIII-310 p.) |c ill., couv. ill. |d 25 cm | ||
320 | |a Glossaire. Index | ||
330 | |a From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems. |2 4e de couverture | ||
452 | | | |0 242519571 |t Applied text analysis with Python |o enabling language-aware data products with machine learning |f Benjamin Bengfort, Rebecca Bilbro and Tony Ojeda |c Sebastopol, Calif. |n O'Reilly Media |d 2018 |y 978-1-491-96304-3 | |
606 | |3 PPN051626225 |a Python (langage de programmation) |2 rameau | ||
606 | |3 PPN027985830 |a Traitement automatique du langage naturel |2 rameau | ||
606 | |3 PPN027940373 |a Apprentissage automatique |2 rameau | ||
676 | |a 005.133 |v 23 | ||
680 | |a QA76.73.P98 | ||
700 | 1 | |3 PPN195026411 |a Bengfort |b Benjamin |4 070 | |
701 | 1 | |3 PPN230670180 |a Bilbro |b Rebecca |4 070 | |
701 | 1 | |3 PPN230670318 |a Ojeda |b Tony |4 070 | |
801 | 3 | |a FR |b Abes |c 20201105 |g AFNOR | |
801 | 0 | |b YDX |g AACR2 | |
801 | 2 | |b OCLCQ |g AACR2 | |
930 | |5 441092104:678430241 |b 441092104 |j u | ||
979 | |a SCI | ||
998 | |a 878020 |