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
Hybrid Sentiment Analysis: Majority Voting with Multinomial..:
, In:
2023 6th International Conference on Information and Communications Technology (ICOIACT)
,
Zakaria
;
Sunyoto, Andi
- p. 448-453 , 2023
Link:
https://doi.org/10.1109/ICOIACT59844.2023.10455937
RT T1
2023 6th International Conference on Information and Communications Technology (ICOIACT)
: T1
Hybrid Sentiment Analysis: Majority Voting with Multinomial Naive Bayes and Logistic Regression on IMDB Dataset
UL https://suche.suub.uni-bremen.de/peid=ieee-10455937&Exemplar=1&LAN=DE A1 Zakaria A1 Sunyoto, Andi YR 2023 SN 2770-4661 K1 Training K1 Sentiment analysis K1 Logistic regression K1 Machine learning algorithms K1 Reviews K1 Motion pictures K1 Transformers K1 sentiment analysis K1 multinomial naive nayes K1 logistic regression K1 majority voting K1 IMDB dataset SP 448 OP 453 LK http://dx.doi.org/https://doi.org/10.1109/ICOIACT59844.2023.10455937 DO https://doi.org/10.1109/ICOIACT59844.2023.10455937 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)