28,39 €
Social Media Mining with R
Social Media Mining with R
  • Išparduota
Social Media Mining with R
Social Media Mining with R
El. knyga:
28,39 €
A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experienc…
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 122
  • ISBN: 9781783281787
  • ISBN-10: 1783281782
  • ISBN-13: 9781783281787
  • Formatas: ACSM ?
  • Kalba: Anglų

Social Media Mining with R (el. knyga) (skaityta knyga) | knygos.lt

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A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.

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  • Autorius: Nathan Danneman
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 122
  • ISBN: 9781783281787
  • ISBN-10: 1783281782
  • ISBN-13: 9781783281787
  • Formatas: ACSM ?
  • Kalba: Anglų

A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.

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