Advances in Social Media Analysis

ISBN-13: 9783319184579 / Angielski / Twarda / 2015 / 151 str.

Mohamed Medhat Gaber; Mihaela Cocea; Nirmalie Wiratunga

Opis

Advances in Social Media Analysis

Spis treści

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.

Blurb

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.