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

Ajutor

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.  

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Cuprins

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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Limba Engleză ● Format PDF ● Pagini 151 ● ISBN 9783319184586 ● Editor Mohamed Medhat Gaber & Mihaela Cocea ● Editura Springer International Publishing ● Oraș Cham ● Țară CH ● Publicat 2015 ● Descărcabil 24 luni ● Valută EUR ● ID 4298604 ● Protecție împotriva copiilor DRM social

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