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
Compulsive Bingers or Faithful Fans: Binge-watching behavio..:
, In:
2023 IEEE International Conference on Big Data (BigData)
,
Parkes, Joanne
;
Smith, Andrew
;
Benford, Steve
.. - p. 6260-6262 , 2023
Link:
https://doi.org/10.1109/BigData59044.2023.10386249
RT T1 <cTitle>2023 IEEE International Conference on Big Data (BigData)</cTitle>: T1 <Title>Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10386249&Exemplar=1&LAN=DE A1 Parkes, Joanne A1 Smith, Andrew A1 Benford, Steve A1 Evans, Michael A1 Kerlin, Lianne YR 2023 K1 Sentiment analysis K1 Fans K1 Data analysis K1 Social networking (online) K1 Blogs K1 Big Data K1 Media K1 Binge-watching K1 Consumer Behaviour K1 Viewing Data K1 Twitter discourse K1 Digital Footprints K1 Sentiment Analysis K1 Secondary Data Analysis SP 6260 OP 6262 LK http://dx.doi.org/https://doi.org/10.1109/BigData59044.2023.10386249 DO https://doi.org/10.1109/BigData59044.2023.10386249 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
