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Social media mining with R : deploy cutting-edge sentiment analysis techniques to real-world social media data using R /

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 wi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Danneman, Nathan (Autor), Heimann, Richard, 1979- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2014.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource.
Bibliografía:Includes bibliographical references and index.
ISBN:9781783281787
1783281782
1306545528
9781306545525
1783281774
9781783281770