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
The impact of synthetic text generation for sentiment analy..:
Imran, Ali Shariq
;
Yang, Ru
;
Kastrati, Zenun
..
, 2022, 23:3, s. 547-557. , 2022
Link:
http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-11617
RT Journal T1
The impact of synthetic text generation for sentiment analysis using GAN based models
UL https://suche.suub.uni-bremen.de/peid=base-ftlinnaeusuniv:oai:DiVA.org:lnu-116173&Exemplar=1&LAN=DE A1 Imran, Ali Shariq A1 Yang, Ru A1 Kastrati, Zenun A1 Daudpota, Sher Muhammad A1 Shaikh, Sarang PB Linnéuniversitetet, Institutionen för informatik (IK); Norwegian University of Science and Technology, Norway; Sukkur IBA University, Pakistan YR 2022 K1 Text generation K1 Sentiment analysis K1 SentiGAN K1 CatGAN K1 Deep learning K1 Language modeling K1 Machine learning K1 GANs K1 Generative adversarial networks K1 Data imbalance K1 Computer and Information Sciences K1 Data- och informationsvetenskap JF , 2022, 23:3, s. 547-557 LK http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-116173 DO http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-116173 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)