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Social Media Mining With R: Deploy Cutting-edge Sentiment Analysis Techniques to Real-world Social Media Data Using R - Softcover
Reseña del editor
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.
Biografía del autor
Nathan Danneman holds a PhD degree from Emory University, where he studied International Conflict. Recently, his technical areas of research have included the analysis of textual and geospatial data and the study of multivariate outlier detection. Nathan is currently a data scientist at Data Tactics, and supports programs at DARPA and the Department of Homeland Security. Richard Heimann leads the Data Science Team at Data Tactics Corporation and is an EMC Certified Data Scientist specializing in spatial statistics, data mining, Big Data, and pattern discovery and recognition. Since 2005, Data Tactics has been a premier Big Data and analytics service provider based in Washington D.C., serving customers globally. Richard is an adjunct faculty member at the University of Maryland, Baltimore County, where he teaches spatial analysis and statistical reasoning. Additionally, he is an instructor at George Mason University, teaching human terrain analysis, and is also a selection committee member for the 20142015 AAAS Big Data and Analytics Fellowship Program. In addition to coauthoring Social Media Mining in R, Richard has also recently reviewed Making Big Data Work for Your Business for Packt Publishing, and also writes frequently on related topics for the Big Data Republic (http://www.bigdatarepublic.com/bloggers.asp#Rich_Heimann). He has recently assisted DARPA, DHS, the US Army, and the Pentagon with analytical support.
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- VerlagPackt Pub Ltd
- Erscheinungsdatum2014
- ISBN 10 1783281774
- ISBN 13 9781783281770
- EinbandTapa blanda
- Anzahl der Seiten107
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Social Media Mining with R
Verlag:
Packt Publishing, Limited, 2014
ISBN 10: 1783281774
ISBN 13: 9781783281770
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Softcover
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Social Media Mining With R: Deploy Cutting-edge Sentiment Analysis Techniques to Real-world Social Media Data Using R
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Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Artikel-Nr. GOR013828569
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