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 Analysis from YouTube Video Using Bi-LSTM-GRU Cla..:
, In:
Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning; Lecture Notes in Networks and Systems
,
Hasan, Firoz
;
Raza, Dewan Mamun
;
Moon, Hasan
. - p. 303-316 , 2024
Link:
https://doi.org/10.1007/978-981-99-8937-9_21
RT T1
Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning; Lecture Notes in Networks and Systems
: T1
Sentiment Analysis from YouTube Video Using Bi-LSTM-GRU Classification
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-99-8937-9_21&Exemplar=1&LAN=DE A1 Hasan, Firoz A1 Raza, Dewan Mamun A1 Moon, Hasan A1 Nahid, Md. Aynul Hasan PB Springer Nature Singapore YR 2024 SP 303 OP 316 LK http://dx.doi.org/https://doi.org/10.1007/978-981-99-8937-9_21 DO https://doi.org/10.1007/978-981-99-8937-9_21 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)