Social Big Data Analytics
Bilal Abu-Salih & Pornpit Wongthongtham & Dengya Zhu & Kit Yan Chan & Amit RudraThis book is aimed to provide academics, professional and technical practitioners with a review of the current state-of-the-art approaches for Social Big Data analytics, as well as to present dissimilar methods to infer value from social data. This book first presents an overview of the notion of Social Big Data and the big data ecosystem including a discussion on big data characteristics and the latest technology stacks. The book further examines several areas of research that benefits from the propagation of social data. In particular, the book presents a correlated array of substantial applications and technical data analytics that are effective to handle big data features, to filter out unsolicited data, to measure the quality of the inferred data and to transform the amended data for further data analysis. Moreover, this book reports solutions to derive knowledge and sentiments from Social Big Data, and to provide social data classification and prediction. These technical solutions improve the overall comprehension of the processed textual datasets and deliver knowledge in the form of unambiguous results. These approaches incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning that will be thoroughly discussed in chapters of this book.
Bilal Abu-SalihPornpit WongthongthamDengya ZhuKit Yan ChanAmit RudraAmman, JordanPerth, WA, AustraliaBentley, WA, AustraliaBentley, WA, AustraliaBentley, WA, Australia