Blueprints for text analysis using Python: machine learning based solutions for common real world (NLP) applications
"Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries wou...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media, Inc.
[2020]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781492074076/?ar |
| Zusammenfassung: | "Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly."-- |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 Online-Ressource (xx, 399 Seiten) illustrations |
| ISBN: | 9781492074052 1492074055 9781492074038 1492074039 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-054865409 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121236.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 200807s2020 xx |||||o 00| ||eng c | ||
| 020 | |a 9781492074052 |c electronic bk. |9 978-1-4920-7405-2 | ||
| 020 | |a 1492074055 |c electronic bk. |9 1-4920-7405-5 | ||
| 020 | |a 9781492074038 |c electronic bk. |9 978-1-4920-7403-8 | ||
| 020 | |a 1492074039 |c electronic bk. |9 1-4920-7403-9 | ||
| 035 | |a (DE-627-1)054865409 | ||
| 035 | |a (DE-599)KEP054865409 | ||
| 035 | |a (ORHE)9781492074076 | ||
| 035 | |a (DE-627-1)054865409 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 006.35 |2 23 | |
| 100 | 1 | |a Albrecht, Jens |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Blueprints for text analysis using Python |b machine learning based solutions for common real world (NLP) applications |c Jens Albrecht, Sidharth Ramachandran, and Christian Winkler |
| 264 | 1 | |a Sebastopol, CA |b O'Reilly Media, Inc. |c [2020] | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 Online-Ressource (xx, 399 Seiten) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | |a "Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly."-- | ||
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Machine learning | |
| 650 | 2 | |a Natural Language Processing | |
| 650 | 2 | |a Machine Learning | |
| 650 | 4 | |a Traitement automatique des langues naturelles | |
| 650 | 4 | |a Python (Langage de programmation) | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Natural language processing (Computer science) | |
| 650 | 4 | |a Python (Computer program language) | |
| 700 | 1 | |a Ramachandran, Sidharth |e VerfasserIn |4 aut | |
| 700 | 1 | |a Winkler, Christian |e VerfasserIn |4 aut | |
| 776 | 1 | |z 9781492074083 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781492074083 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781492074076/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-054865409 |
|---|---|
| _version_ | 1821494838924673024 |
| adam_text | |
| any_adam_object | |
| author | Albrecht, Jens Ramachandran, Sidharth Winkler, Christian |
| author_facet | Albrecht, Jens Ramachandran, Sidharth Winkler, Christian |
| author_role | aut aut aut |
| author_sort | Albrecht, Jens |
| author_variant | j a ja s r sr c w cw |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)054865409 (DE-599)KEP054865409 (ORHE)9781492074076 |
| dewey-full | 006.35 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.35 |
| dewey-search | 006.35 |
| dewey-sort | 16.35 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02898cam a22005652 4500</leader><controlfield tag="001">ZDB-30-ORH-054865409</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121236.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200807s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781492074052</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-4920-7405-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1492074055</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-4920-7405-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781492074038</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-4920-7403-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1492074039</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-4920-7403-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)054865409</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP054865409</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781492074076</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)054865409</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.35</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Albrecht, Jens</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Blueprints for text analysis using Python</subfield><subfield code="b">machine learning based solutions for common real world (NLP) applications</subfield><subfield code="c">Jens Albrecht, Sidharth Ramachandran, and Christian Winkler</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Sebastopol, CA</subfield><subfield code="b">O'Reilly Media, Inc.</subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xx, 399 Seiten)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly."--</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Natural language processing (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Natural Language Processing</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Traitement automatique des langues naturelles</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Natural language processing (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ramachandran, Sidharth</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Winkler, Christian</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781492074083</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781492074083</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781492074076/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-054865409 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:20:45Z |
| institution | BVB |
| isbn | 9781492074052 1492074055 9781492074038 1492074039 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xx, 399 Seiten) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | O'Reilly Media, Inc. |
| record_format | marc |
| spelling | Albrecht, Jens VerfasserIn aut Blueprints for text analysis using Python machine learning based solutions for common real world (NLP) applications Jens Albrecht, Sidharth Ramachandran, and Christian Winkler Sebastopol, CA O'Reilly Media, Inc. [2020] ©2020 1 Online-Ressource (xx, 399 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index "Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly."-- Natural language processing (Computer science) Python (Computer program language) Machine learning Natural Language Processing Machine Learning Traitement automatique des langues naturelles Python (Langage de programmation) Apprentissage automatique Ramachandran, Sidharth VerfasserIn aut Winkler, Christian VerfasserIn aut 9781492074083 Erscheint auch als Druck-Ausgabe 9781492074083 |
| spellingShingle | Albrecht, Jens Ramachandran, Sidharth Winkler, Christian Blueprints for text analysis using Python machine learning based solutions for common real world (NLP) applications Natural language processing (Computer science) Python (Computer program language) Machine learning Natural Language Processing Machine Learning Traitement automatique des langues naturelles Python (Langage de programmation) Apprentissage automatique |
| title | Blueprints for text analysis using Python machine learning based solutions for common real world (NLP) applications |
| title_auth | Blueprints for text analysis using Python machine learning based solutions for common real world (NLP) applications |
| title_exact_search | Blueprints for text analysis using Python machine learning based solutions for common real world (NLP) applications |
| title_full | Blueprints for text analysis using Python machine learning based solutions for common real world (NLP) applications Jens Albrecht, Sidharth Ramachandran, and Christian Winkler |
| title_fullStr | Blueprints for text analysis using Python machine learning based solutions for common real world (NLP) applications Jens Albrecht, Sidharth Ramachandran, and Christian Winkler |
| title_full_unstemmed | Blueprints for text analysis using Python machine learning based solutions for common real world (NLP) applications Jens Albrecht, Sidharth Ramachandran, and Christian Winkler |
| title_short | Blueprints for text analysis using Python |
| title_sort | blueprints for text analysis using python machine learning based solutions for common real world nlp applications |
| title_sub | machine learning based solutions for common real world (NLP) applications |
| topic | Natural language processing (Computer science) Python (Computer program language) Machine learning Natural Language Processing Machine Learning Traitement automatique des langues naturelles Python (Langage de programmation) Apprentissage automatique |
| topic_facet | Natural language processing (Computer science) Python (Computer program language) Machine learning Natural Language Processing Machine Learning Traitement automatique des langues naturelles Python (Langage de programmation) Apprentissage automatique |
| work_keys_str_mv | AT albrechtjens blueprintsfortextanalysisusingpythonmachinelearningbasedsolutionsforcommonrealworldnlpapplications AT ramachandransidharth blueprintsfortextanalysisusingpythonmachinelearningbasedsolutionsforcommonrealworldnlpapplications AT winklerchristian blueprintsfortextanalysisusingpythonmachinelearningbasedsolutionsforcommonrealworldnlpapplications |