Mohamed Medhat Gaber & Mihaela Cocea 
Advances in Social Media Analysis [PDF ebook] 

Soporte

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.  

€103.52
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Tabla de materias

Case-Studies in Mining User-Generated Reviews for Recommendation.- Mining Newsworthy Topics from Social Media.- Sentiment Analysis Using Supervised Learning with Domain-Adaptation and Sentence-Based Analysis.- Pattern-based Emotion Classification on Social Media.- Entity-based Opinion Mining from Text and Multimedia.- Predicting Emotion Labels for Chinese Microblog Texts.

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Idioma Inglés ● Formato PDF ● Páginas 151 ● ISBN 9783319184586 ● Editor Mohamed Medhat Gaber & Mihaela Cocea ● Editorial Springer International Publishing ● Ciudad Cham ● País CH ● Publicado 2015 ● Descargable 24 meses ● Divisa EUR ● ID 4298604 ● Protección de copia DRM social

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