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
Sentiment Classification Using a Single-Layered BiLSTM Mode:
Zabit Hameed
;
Begonya Garcia-Zapirain
https://ieeexplore.ieee.org/document/9069952/. , 2020
Link:
https://doi.org/10.1109/ACCESS.2020.2988550
RT Journal T1
Sentiment Classification Using a Single-Layered BiLSTM Model
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:89858ddc034849d694f9549877a5ce03&Exemplar=1&LAN=DE A1 Zabit Hameed A1 Begonya Garcia-Zapirain PB IEEE YR 2020 K1 Bidirectional long short-term memory K1 deep learning K1 long-term dependencies K1 natural language processing K1 sentiment analysis K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF https://ieeexplore.ieee.org/document/9069952/ LK http://dx.doi.org/https://doi.org/10.1109/ACCESS.2020.2988550 DO https://doi.org/10.1109/ACCESS.2020.2988550 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)