Advances in Social Media Analysis
Mohamed Medhat Gaber · Mihaela Cocea · Nirmalie Wiratunga · Ayse Goker
Hun 2015 · Springer
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151
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This volume presents a collection of carefully selected contributions in the area of social media analysis.
Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research.
The chapters are diverse enough to serve a number of directions of research with Sentiment Analysis as the dominant topic in the book.
The authors have provided a broad range of research achievements from multimodal sentiment identification to emotion detection in a Chinese microblogging website.
The book will be useful to research students, academics and practitioners in the area of social media analysis.
Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research.
The chapters are diverse enough to serve a number of directions of research with Sentiment Analysis as the dominant topic in the book.
The authors have provided a broad range of research achievements from multimodal sentiment identification to emotion detection in a Chinese microblogging website.
The book will be useful to research students, academics and practitioners in the area of social media analysis.
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