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
Ensuring Transparency in Using ChatGPT for Public Sentiment..:
, In:
Proceedings of the 25th Annual International Conference on Digital Government Research
,
Tsai, Chun-Hua
;
Nandy, Gargi
;
House, Deanna
. - p. 627-636 , 2024
Link:
https://dl.acm.org/doi/10.1145/3657054.3657128
RT T1 <cTitle>Proceedings of the 25th Annual International Conference on Digital Government Research</cTitle>: T1 <Title>Ensuring Transparency in Using ChatGPT for Public Sentiment Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3657128&Exemplar=1&LAN=DE A1 Tsai, Chun-Hua A1 Nandy, Gargi A1 House, Deanna A1 Carroll, John PB ACM YR 2024 K1 AI Ethics and Governance K1 CDC K1 COVID K1 Civic Engagement K1 Information systems K1 Data management systems K1 Information integration K1 Wrappers (data mining) K1 Information retrieval K1 Retrieval models and ranking K1 Language models K1 Retrieval tasks and goals K1 Sentiment analysis SP 627 OP 636 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3657054.3657128 DO https://dl.acm.org/doi/10.1145/3657054.3657128 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
