TY - BOOK ID - 14589795 TI - Social media mining with R : deploy cutting-edge sentiment analysis techniques to real-world social media data using R AU - Danneman, Nathan AU - Heimann, Richard AU - Wood, MonseeĢ G. PY - 2014 SN - 1783281782 1783281774 1306545528 9781783281787 9781306545525 PB - Birmingham, England : Packt Publishing, DB - UniCat KW - Data mining -- Industrial applications -- Case studies. KW - Embedded computer systems. KW - Multimedia systems. KW - R (Computer program language). KW - Engineering & Applied Sciences KW - Computer Science KW - Data mining. KW - Social media. KW - User-generated media KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Communication KW - User-generated content KW - Database searching KW - GNU-S (Computer program language) KW - Domain-specific programming languages UR - https://www.unicat.be/uniCat?func=search&query=sysid:14589795 AB - 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. ER -