Text analytics with Python: a practical real-world approach to gaining actionable insights from your data
Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem. Text Analytics with Python teaches you both basic and advanced concepts, inclu...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[United States]
Apress
2016
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484223871/?ar |
| Zusammenfassung: | Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem. Text Analytics with Python teaches you both basic and advanced concepts, including text and language syntax, structure, semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. A structured and comprehensive approach is followed in this book so that readers with little or no experience do not find themselves overwhelmed. You will start with the basics of natural language and Python and move on to advanced analytical and machine learning concepts. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. This book: Provides complete coverage of the major concepts and techniques of natural language processing (NLP) and text analytics Includes practical real-world examples of techniques for implementation, such as building a text classification system to categorize news articles, analyzing app or game reviews using topic modeling and text summarization, and clustering popular movie synopses and analyzing the sentiment of movie reviews Shows implementations based on Python and several popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern. |
| Beschreibung: | Includes index. - Online resource; title from PDF title page (SpringerLink, viewed January 3, 2017) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781484223888 1484223888 148422387X 9781484223871 |
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| spelling | Sarkar, Dipanjan VerfasserIn aut Text analytics with Python a practical real-world approach to gaining actionable insights from your data Dipanjan Sarkar [United States] Apress 2016 ©2016 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from PDF title page (SpringerLink, viewed January 3, 2017) Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem. Text Analytics with Python teaches you both basic and advanced concepts, including text and language syntax, structure, semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. A structured and comprehensive approach is followed in this book so that readers with little or no experience do not find themselves overwhelmed. You will start with the basics of natural language and Python and move on to advanced analytical and machine learning concepts. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. This book: Provides complete coverage of the major concepts and techniques of natural language processing (NLP) and text analytics Includes practical real-world examples of techniques for implementation, such as building a text classification system to categorize news articles, analyzing app or game reviews using topic modeling and text summarization, and clustering popular movie synopses and analyzing the sentiment of movie reviews Shows implementations based on Python and several popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern. Natural language processing (Computer science) Python (Computer program language) Computer science Programming languages (Electronic computers) Database management Data mining Natural Language Processing Electronic Data Processing Data Mining Traitement automatique des langues naturelles Python (Langage de programmation) Informatique Bases de données ; Gestion Exploration de données (Informatique) Databases Programming & scripting languages: general COMPUTERS ; General 9781484223871 Erscheint auch als Druck-Ausgabe 9781484223871 |
| spellingShingle | Sarkar, Dipanjan Text analytics with Python a practical real-world approach to gaining actionable insights from your data Natural language processing (Computer science) Python (Computer program language) Computer science Programming languages (Electronic computers) Database management Data mining Natural Language Processing Electronic Data Processing Data Mining Traitement automatique des langues naturelles Python (Langage de programmation) Informatique Bases de données ; Gestion Exploration de données (Informatique) Databases Programming & scripting languages: general COMPUTERS ; General |
| title | Text analytics with Python a practical real-world approach to gaining actionable insights from your data |
| title_auth | Text analytics with Python a practical real-world approach to gaining actionable insights from your data |
| title_exact_search | Text analytics with Python a practical real-world approach to gaining actionable insights from your data |
| title_full | Text analytics with Python a practical real-world approach to gaining actionable insights from your data Dipanjan Sarkar |
| title_fullStr | Text analytics with Python a practical real-world approach to gaining actionable insights from your data Dipanjan Sarkar |
| title_full_unstemmed | Text analytics with Python a practical real-world approach to gaining actionable insights from your data Dipanjan Sarkar |
| title_short | Text analytics with Python |
| title_sort | text analytics with python a practical real world approach to gaining actionable insights from your data |
| title_sub | a practical real-world approach to gaining actionable insights from your data |
| topic | Natural language processing (Computer science) Python (Computer program language) Computer science Programming languages (Electronic computers) Database management Data mining Natural Language Processing Electronic Data Processing Data Mining Traitement automatique des langues naturelles Python (Langage de programmation) Informatique Bases de données ; Gestion Exploration de données (Informatique) Databases Programming & scripting languages: general COMPUTERS ; General |
| topic_facet | Natural language processing (Computer science) Python (Computer program language) Computer science Programming languages (Electronic computers) Database management Data mining Natural Language Processing Electronic Data Processing Data Mining Traitement automatique des langues naturelles Python (Langage de programmation) Informatique Bases de données ; Gestion Exploration de données (Informatique) Databases Programming & scripting languages: general COMPUTERS ; General |
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