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
Characterizing the 2022- Russo-Ukrainian Conflict Through t..:
, In:
2023 32nd International Conference on Computer Communications and Networks (ICCCN)
,
Caprolu, Maurantonio
;
Sadighian, Alireza
;
Di Pietro, Roberto
- p. 1-10 , 2023
Link:
https://doi.org/10.1109/ICCCN58024.2023.10230192
RT T1 <cTitle>2023 32nd International Conference on Computer Communications and Networks (ICCCN)</cTitle>: T1 <Title>Characterizing the 2022- Russo-Ukrainian Conflict Through the Lenses of Aspect-Based Sentiment Analysis: Dataset, Methodology, and Key Findings</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10230192&Exemplar=1&LAN=DE A1 Caprolu, Maurantonio A1 Sadighian, Alireza A1 Di Pietro, Roberto YR 2023 SN 2637-9430 K1 Sentiment analysis K1 Pediatrics K1 Correlation K1 Social networking (online) K1 Statistical analysis K1 Blogs K1 Media K1 2022-Russo-Ukrainian Conflict K1 Online Social Networks K1 Disinformation K1 Propaganda K1 Fake-news K1 Aspect-Based Sentiment Analysis K1 Twitter K1 Data Mining K1 Data Analysis SP 1 OP 10 LK http://dx.doi.org/https://doi.org/10.1109/ICCCN58024.2023.10230192 DO https://doi.org/10.1109/ICCCN58024.2023.10230192 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
