Generative methods for social media analysis / (Record no. 13975)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02187cam a2200301 i 4500 |
| INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031336171 |
| INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 3031336178 |
| INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031336164 |
| DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | LC QA76.9 .M38 2023, DDC 302.23102856312 |
| MAIN ENTRY--AUTHOR NAME | |
| Personal name | Matwin, Stan, |
| TITLE STATEMENT | |
| Title | Generative methods for social media analysis / |
| Statement of responsibility, etc | Stan Matwin, Aristides Milios, Paweł Prałat Amilcar Soares, Fraṅois Tȟberge |
| Copyright Date | |
| Place of publication | Cham : |
| Name of publisher | Springer, |
| Year of publication or production | 2023 |
| PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (92 pages) |
| Other physical details | Illu:, |
| SERIES STATEMENT | |
| Series statement | SpringerBriefs in Computer Science Series |
| GENERAL NOTE | |
| General note | References. |
| SUMMARY, ETC. | |
| Summary, etc | This book provides a broad overview of the state of the art of the research in generative methods for the analysis of social media data. It especially includes two important aspects that currently gain importance in mining and modelling social media: dynamics and networks. The book is divided into five chapters and provides an extensive bibliography consisting of more than 250 papers. After a quick introduction and survey of the book in the first chapter, chapter 2 is devoted to the discussion of data models and ontologies for social network analysis. Next, chapter 3 deals with text generation and generative text models and the dangers they pose to social media and society at large. Chapter 4 then focuses on topic modelling and sentiment analysis in the context of social networks. Finally, Chapter 5 presents graph theory tools and approaches to mine and model social networks. Throughout the book, open problems, highlighting potential future directions, are clearly identified. The book aims at researchers and graduate students in social media analysis, information retrieval, and machine learning applications |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Social media |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data mining. |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Social media |
| ADDED ENTRY--PERSONAL NAME | |
| Personal name | Milios, Aristides, |
| ADDED ENTRY--PERSONAL NAME | |
| Personal name | Prałat, Paweł, |
| ADDED ENTRY--PERSONAL NAME | |
| Personal name | Soares, Amilcar, |
| ADDED ENTRY--PERSONAL NAME | |
| Personal name | Théberge, Françoisv, |
| ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://rave.ohiolink.edu/ebooks/ebc2/9783031336171 |
| ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://link.springer.com/10.1007/978-3-031-33617-1 |
| ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-3-031-33617-1 |
| ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Books |
| Permanent Location | Current Location | Date acquired | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|
| Gabriel Afolabi Ojo Central Library (Headquarters). | Gabriel Afolabi Ojo Central Library (Headquarters). | 11/05/2024 | QA76.9 .M38 2023 | 0195856 | Books |