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
Topic Modelling Supreme Court Case Decisions using Latent D..:
, In:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
,
Razon, Bermylle John U.
;
Solano, Geoffrey A.
;
Ranera, Lorenz Timothy B.
- p. 284-289 , 2022
Link:
https://doi.org/10.1109/ICTC55196.2022.9952945
RT T1
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
: T1
Topic Modelling Supreme Court Case Decisions using Latent Dirichlet Allocation
UL https://suche.suub.uni-bremen.de/peid=ieee-9952945&Exemplar=1&LAN=DE A1 Razon, Bermylle John U. A1 Solano, Geoffrey A. A1 Ranera, Lorenz Timothy B. YR 2022 SN 2162-1241 K1 Law K1 Information and communication technology K1 Behavioral sciences K1 Resource management K1 Data mining K1 Convergence K1 Latent Dirichlet Allocation K1 Philippine Supreme Court K1 Case decisions K1 Topic Modelling K1 Natural Language Processing K1 Information Extraction SP 284 OP 289 LK http://dx.doi.org/https://doi.org/10.1109/ICTC55196.2022.9952945 DO https://doi.org/10.1109/ICTC55196.2022.9952945 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)