國立虎尾科技大學 |

Topic Detection and Classification in Social Networks = The Twitter Case /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Topic Detection and Classification in Social Networks/ by Dimitrios Milioris.
其他題名:	The Twitter Case /
作者:	Milioris, Dimitrios.
面頁冊數:	XVI, 105 p. 38 illus., 25 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Electrical engineering. -
電子資源:	https://doi.org/10.1007/978-3-319-66414-9
ISBN:	9783319664149

Topic Detection and Classification in Social Networks = The Twitter Case /
Milioris, Dimitrios.

Topic Detection and Classification in Social NetworksThe Twitter Case /[electronic resource] :by Dimitrios Milioris. - 1st ed. 2018. - XVI, 105 p. 38 illus., 25 illus. in color.online resource.

Introduction -- Background and Related Work -- Joint Sequence Complexity -- Text Classification via Compressive Sensing -- Extension of Joint Complexity and Compressive Sensing -- Conclusion.

This 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.

ISBN: 9783319664149

Standard No.: 10.1007/978-3-319-66414-9doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Topic Detection and Classification in Social Networks = The Twitter Case /
LDR:02265nam a22003975i 4500 001 987356
003 DE-He213
005 20200701052321.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319664149 $9 978-3-319-66414-9
024 7 $a 10.1007/978-3-319-66414-9 $2 doi
035 $a 978-3-319-66414-9
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Milioris, Dimitrios. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1279850
245 1 0 $a Topic Detection and Classification in Social Networks $h [electronic resource] : $b The Twitter Case / $c by Dimitrios Milioris.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XVI, 105 p. 38 illus., 25 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Introduction -- Background and Related Work -- Joint Sequence Complexity -- Text Classification via Compressive Sensing -- Extension of Joint Complexity and Compressive Sensing -- Conclusion.
520 $a This 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 $a Electrical engineering. $3 596380
650 0 $a Computational intelligence. $3 568984
650 0 $a Optical data processing. $3 639187
650 0 $a Computer organization. $3 596298
650 0 $a Natural language processing (Computer science). $3 802180
650 1 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
650 2 4 $a Computer Systems Organization and Communication Networks. $3 669309
650 2 4 $a Natural Language Processing (NLP). $3 1254293
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319664132
776 0 8 $i Printed edition: $z 9783319664156
776 0 8 $i Printed edition: $z 9783319882383
856 4 0 $u https://doi.org/10.1007/978-3-319-66414-9
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)