| 000 | 03331nam a22005535i 4500 | ||
|---|---|---|---|
| 999 |
_c12542 _d12542 |
||
| 001 | 978-3-319-66414-9 | ||
| 003 | DE-He213 | ||
| 005 | 20211220112950.0 | ||
| 008 | 171005s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319664149 | ||
| 040 | _cAIKTC-KRRC | ||
| 041 | _aENG | ||
| 072 | 7 |
_aTJK _2bicssc |
|
| 072 | 7 |
_aTEC041000 _2bisacsh |
|
| 072 | 7 |
_aTJK _2thema |
|
| 082 | 0 | 4 |
_a621.382 _223 |
| 100 | 1 |
_aMilioris, Dimitrios. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aTopic Detection and Classification in Social Networks _h[electronic resource] : _bThe Twitter Case / |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
| 300 |
_aXVI, 105 p. 38 illus., 25 illus. in color. _bCard Paper |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 520 | _aThis book provides a novel method for topic detection and classification in social networks. The book addresses several research and technical challenges that are currently being investigated by the research community, from the analysis of relations and communications between members of a community, to quality, authority, relevance and timeliness of the content, traffic prediction based on media consumption, spam detection, to security, privacy and protection of personal information. Furthermore, the book discusses innovative techniques to address those challenges and provides novel solutions based on information theory, sequence analysis and combinatorics, which are applied on real data obtained from Twitter. | ||
| 650 | 0 |
_aEXTC Engineering _94619 |
|
| 653 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. | ||
| 653 | _aComputer Systems Organization and Communication Networks. | ||
| 653 | _aNatural Language Processing (NLP). | ||
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319664132 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319664156 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319882383 |
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-319-66414-9 _zClick here to access eBook in Springer Nature platform. (Within Campus only.) |
| 942 |
_cEBOOKS _2ddc |
||