tag:joss.theoj.org,2005:/papers/tagged/topic%20model
Journal of Open Source Software
2021-10-19T10:54:39Z
Journal of Open Source Software
https://joss.theoj.org
tag:joss.theoj.org,2005:Paper/2999
2021-10-19T10:54:39Z
2022-01-18T12:10:02Z
AuDoLab: Automatic document labelling and classification for extremely unbalanced data
accepted
v1.0.7
2021-08-27 10:20:38 UTC
66
2021-10-19 10:54:39 UTC
6
2021
3719
Arne
Tillmann
Georg-August-Universität Göttingen, Göttingen, Germany
Anton
Thielmann
Georg-August-Universität Göttingen, Göttingen, Germany
Gillian
Kant
Georg-August-Universität Göttingen, Göttingen, Germany
Christoph
Weisser
Georg-August-Universität Göttingen, Göttingen, Germany, Campus-Institut Data Science (CIDAS), Göttingen, Germany
Benjamin
Säfken
Georg-August-Universität Göttingen, Göttingen, Germany, Campus-Institut Data Science (CIDAS), Göttingen, Germany
Alexander
Silbersdorff
Georg-August-Universität Göttingen, Göttingen, Germany, Campus-Institut Data Science (CIDAS), Göttingen, Germany
Thomas
Kneib
Georg-August-Universität Göttingen, Göttingen, Germany, Campus-Institut Data Science (CIDAS), Göttingen, Germany
10.21105/joss.03719
https://doi.org/10.5281/zenodo.5575835
Python, PowerShell
https://joss.theoj.org/papers/10.21105/joss.03719.pdf
One-class SVM, Unsupervised Document Classification, One-class Document Classification, LDA Topic Modelling, Out-of-domain Training Data
tag:joss.theoj.org,2005:Paper/2229
2021-03-02T13:31:40Z
2021-03-03T00:01:32Z
forestatrisk: a Python package for modelling and forecasting deforestation in the tropics
accepted
v0.2
2020-12-10 10:14:08 UTC
59
2021-03-02 13:31:40 UTC
6
2021
2975
Ghislain
Vieilledent
CIRAD, UMR AMAP, F--34398 Montpellier, France, CIRAD, Forêts et Sociétés, F--34398 Montpellier, France., AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France., European Commission, Joint Research Centre (JRC), I--21027 Ispra (VA), Italy.
0000-0002-1685-4997
10.21105/joss.02975
https://doi.org/10.5281/zenodo.4570632
C, C++
https://joss.theoj.org/papers/10.21105/joss.02975.pdf
Python, land use change, spatial modelling, spatial analysis, forecasting, spatial autocorrelation, tropical forests, roads, protected areas, biodiversity scenario, ipbes, co2 emissions, ipcc
tag:joss.theoj.org,2005:Paper/1826
2020-11-12T10:03:14Z
2021-02-15T11:30:21Z
oolong: An R package for validating automated content analysis tools
accepted
0.3.8
2020-07-04 13:12:44 UTC
55
2020-11-12 10:03:14 UTC
5
2020
2461
Chung-hong
Chan
Mannheimer Zentrum für Europäische Sozialforschung, Universität Mannheim
0000-0002-6232-7530
Marius
Sältzer
Mannheimer Zentrum für Europäische Sozialforschung, Universität Mannheim
0000-0002-8604-4666
10.21105/joss.02461
https://doi.org/10.5281/zenodo.4256574
R
https://joss.theoj.org/papers/10.21105/joss.02461.pdf
text analysis, topic model, sentiment analysis, validation
tag:joss.theoj.org,2005:Paper/1676
2020-10-26T17:52:10Z
2021-02-15T11:30:40Z
TTLocVis: A Twitter Topic Location Visualization Package
accepted
v0.1.0
2020-05-22 20:11:51 UTC
54
2020-10-26 17:52:10 UTC
5
2020
2507
Gillian
Kant
Centre for Statistics, Georg-August-Universität Göttingen, Germany
0000-0003-2346-2841
Christoph
Weisser
Centre for Statistics, Georg-August-Universität Göttingen, Germany, Campus-Institut Data Science, Göttingen, Germany
0000-0003-0616-1027
Benjamin
Säfken
Centre for Statistics, Georg-August-Universität Göttingen, Germany, Campus-Institut Data Science, Göttingen, Germany
0000-0003-4702-3333
10.21105/joss.02507
https://doi.org/10.5281/zenodo.4133399
Python
https://joss.theoj.org/papers/10.21105/joss.02507.pdf
Twitter, Topic Modelling, LDA, Latent Dirichlet Allocation, Visualization, Spatial Modelling, Geocoded Text, Hashtag-Pooling Algorithm, Natural Language Processing, Machine Learning
tag:joss.theoj.org,2005:Paper/1583
2020-07-16T07:46:48Z
2021-02-15T11:30:53Z
ldaPrototype: A method in R to get a Prototype of multiple Latent Dirichlet Allocations
accepted
v0.1.1
2020-03-10 15:00:29 UTC
51
2020-07-16 07:46:48 UTC
5
2020
2181
Jonas
Rieger
TU Dortmund University
0000-0002-0007-4478
10.21105/joss.02181
https://doi.org/10.5281/zenodo.3945836
R
https://joss.theoj.org/papers/10.21105/joss.02181.pdf
topic modeling, natural language processing, text data, tuning, model selection, high performance computing, parallelization