Advances in Social Media Analysis / edited by Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker.
Contributor(s): Gaber, Mohamed Medhat., editor literario | Cocea, Mihaela, editor literario
| Wiratunga, Nirmalie., editor literario | Goker, Ayse., editor literario
Material type:
E-bookSeries: (Studies in Computational Intelligence,, 1860-949X ;; 602); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2015Description: 1 recurso en línea (VII, 151 páginas 29 ilustraciones).ISBN: 9783319184586.Subject: Data mining
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9 .D343 A383 2015 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.12112284 |
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| QA76.9.D343 2023 EB Knowledge and Systems Sciences : 22nd International Symposium, KSS 2023, Guangzhou, China, December 2-3, 2023, Proceedings | QA76.9 .D343 2023 EB Speech and Language Technologies for Low-Resource Languages : First International Conference, SPELLL 2022, Kalavakkam, India, November 23-25, 2022, Proceedings | QA76.9 .D343 2024 EB Hypothesis Generation and Interpretation : Design Principles and Patterns for Big Data Applications | QA76.9 .D343 A383 2015 EB Advances in Social Media Analysis | QA76.9.D343 A383 2016 EB Advances in Knowledge Discovery and Management : Volume 5 | QA76.9.D343 A383 2016 EB Advances in knowledge discovery and management. Volume 6 | QA76.9 .D343 A383 2018 EB Advances in Knowledge Discovery and Management Volume 7 |
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.
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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