Natural language processing for social media
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| 100 | 1 | |a Farzindar |D Atefeh |0 (DE-588)1152393022 |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Natural language processing for social media |c Atefeh Farzindar, Diana Inkpen |
| 250 | |a Second edition | ||
| 264 | 1 | |a [USA] |b Morgan & Claypool Publishers |c [2018] | |
| 264 | 4 | |c © 2018 | |
| 300 | |a xix, 195 Seiten |b Illustrationen | ||
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| 490 | 0 | |a Synthesis lectures on human language technologies |v 38 |i 38 |w (IDSSG)000988242 |9 511727704 | |
| 504 | |a Literaturverzeichnis S. 133-172 | ||
| 520 | |a bvious gap. © 2017 Association for Computational Linguistics This book is targeted towards researchers who have a background in natural language processing and machine learning, and want to learn about research questions, tasks, and techniques related to processing of social media texts. Chapter 1 introduces social media, and highlights its large scale and continuous growth. This chapter also describes the challenges associated with processing data from social media (large volume, non-standard language, short length of the texts, and a need to separate useful information from extraneous content), and overviews applications that benefit from social media analysis. This chapter is brief; computer science researchers will already have a general understanding of these issues, and can use the chapter to peruse some of the details. The rest of the chapters can be logically divided into two parts containing two chapters each, and the book ends with a conclusion chapter and a short case study.(Quelle: morganclaypool.com) | ||
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