Advances in Social Media Analysis

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 numb...

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Những tác giả chính:	Gaber, M.M, Cocea, M, Wiratunga, N, Goker, A
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2015
Những chủ đề:	Data mining Social media User-generated content
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58856
Các nhãn:	Thêm thẻ Không có thẻ, Là người đầu tiên thẻ bản ghi này!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

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spelling	oai:scholar.dlu.edu.vn:DLU123456789-588562023-11-11T06:21:40Z Advances in Social Media Analysis Gaber, M.M Cocea, M Wiratunga, N Goker, A Data mining Social media User-generated content 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. 2015-10-16T03:37:38Z 2015-10-16T03:37:38Z 2015 Book 978-3-319-18458-6 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58856 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Data mining Social media User-generated content
spellingShingle	Data mining Social media User-generated content Gaber, M.M Cocea, M Wiratunga, N Goker, A Advances in Social Media Analysis
description	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.
format	Book
author	Gaber, M.M Cocea, M Wiratunga, N Goker, A
author_facet	Gaber, M.M Cocea, M Wiratunga, N Goker, A
author_sort	Gaber, M.M
title	Advances in Social Media Analysis
title_short	Advances in Social Media Analysis
title_full	Advances in Social Media Analysis
title_fullStr	Advances in Social Media Analysis
title_full_unstemmed	Advances in Social Media Analysis
title_sort	advances in social media analysis
publisher	Springer
publishDate	2015
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58856
_version_	1782548854763159552

Advances in Social Media Analysis

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