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Advances in Social Media Analysis de Mohamed Medhat Gaber

Advances in Social Media Analysis: Studies in Computational Intelligence, cartea 602

Editat de Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker
en Limba Engleză Hardback – 25 iun 2015
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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Specificații

ISBN-13: 9783319184579
ISBN-10: 3319184571
Pagini: 230
Ilustrații: VII, 151 p. 29 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

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.

Textul de pe ultima copertă

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.
 

Caracteristici

Recent Research in Intelligent Techniques for Social Media Analysis Presents Applications of Computational Intelligence to Social Media including Affective Computing and Sentiment Analysis Written by experts in the field Includes supplementary material: sn.pub/extras