I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Automatic Categorization of Press Articles through Learning..:
, In:
2019 IEEE International Conference on Big Data (Big Data)
,
SARR, Edouard Ngor
;
SALL, Ousmane
;
BOUSSO, Mamadou
... - p. 6211-6213 , 2019
Link:
https://doi.org/10.1109/BigData47090.2019.9006070
RT T1 <cTitle>2019 IEEE International Conference on Big Data (Big Data)</cTitle>: T1 <Title>Automatic Categorization of Press Articles through Learning: The Case of Senegalese Online Press</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9006070&Exemplar=1&LAN=DE A1 SARR, Edouard Ngor A1 SALL, Ousmane A1 BOUSSO, Mamadou A1 DIOUF, Rabiyatou A1 BIRREGAH, Babiga A1 MBAYE, Seny Ndiaye YR 2019 K1 Presses K1 Text categorization K1 Libraries K1 Manuals K1 Big Data K1 Task analysis K1 Classification algorithms K1 Supervised learning K1 Classification of text K1 Online press SP 6211 OP 6213 LK http://dx.doi.org/https://doi.org/10.1109/BigData47090.2019.9006070 DO https://doi.org/10.1109/BigData47090.2019.9006070 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
