| 000 | 01957naaaa2200313uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/67277 | ||
| 005 | 20220219221840.0 | ||
| 020 | _aintechopen.78089 | ||
| 020 | _a9781789840285 | ||
| 020 | _a9781789840278 | ||
| 020 | _a9781838806163 | ||
| 024 | 7 |
_a10.5772/intechopen.78089 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aUYQ _2bicssc |
|
| 100 | 1 |
_aCano, Alberto _4edt |
|
| 700 | 1 |
_aCano, Alberto _4oth |
|
| 245 | 1 | 0 | _aSocial Media and Machine Learning |
| 260 |
_bIntechOpen _c2020 |
||
| 300 | _a1 electronic resource (96 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aSocial media has transformed society and the way people interact with each other. The volume and speed in which new content is being generated surpasses the processing capacity of machine learning systems. Analyzing such data demands new approaches coming from natural language processing, text mining, sentiment analysis, etc to understand and resolve the arising challenges. There is a need to develop robust and adaptable systems to tackle these open issues in real time, as well as to provide a meaningful summarization and visualization to the end users. This book provides the reader with a comprehensive overview of the latest developments in social media and machine learning, addressing research innovations, applications, trends, and open challenges in this crucial area. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc _4https://creativecommons.org/licenses/by/3.0/ |
||
| 546 | _aEnglish | ||
| 650 | 7 |
_aArtificial intelligence _2bicssc |
|
| 653 | _aMachine learning | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/8141/authors_book/authors_book.pdf _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/67277 _70 _zDOAB: description of the publication |
| 999 |
_c47477 _d47477 |
||