Advances in Social Media Analysis (eBook, PDF)

Redaktion: Gaber, Mohamed Medhat; Goker, Ayse; Wiratunga, Nirmalie; Cocea, Mihaela

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 151
• Erscheinungstermin: 5. Juni 2015
• Englisch
• ISBN-13: 9783319184586
• Artikelnr.: 43799525

Inhaltsangabe

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.