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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.

Data mining -- Industrial applications -- Case studies. --- Embedded computer systems. --- Multimedia systems. --- R (Computer program language). --- Engineering & Applied Sciences --- Computer Science --- Data mining. --- Social media. --- User-generated media --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Communication --- User-generated content --- Database searching --- GNU-S (Computer program language) --- Domain-specific programming languages