mardyr2

mardyr2 enables the user to select, visualize and download data from the MARDY-research project. Additional functionalities include access to training models via an API, the DEbateNet-mig15-data set, and utility functions.

This software is part of the following publications:

Lapesa, G., Blessing, A., Blokker, N., Dayanik, E., Haunss, S., Kuhn, J., & Padó, S. (2020). DEbateNet-mig15: Tracing the 2015 immigration debate in Germany over time. Proceedings of LREC, 919–927. https://www.aclweb.org/anthology/2020.lrec-1.115

Blokker, N., Blessing, A., Dayanik, E., Kuhn, J., Padó, S., & Lapesa, G. (2023). Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports. Language Resources and Evaluation, 121 - 153. https://link.springer.com/article/10.1007/s10579-023-09641-8

License

See here for further information regarding the licensing.

Installation

You can find the LREC release version of mardyr2 here. To install the development version please run:

devtools::install_github("nicoblokker/mardyr2")

Examples

Load and access the DEbateNet-15mig data set:

library(mardyr2)
data("DEbateNet_mig15")
dim(DEbateNet_mig15)
#> [1] 1815    5

Start shinydashboard to visualize the DEbateNet-mig15 data set

library(mardyr2)
get_data(source = "LRE")

Or send a test sentence to the API [deprecated]:

library(mardyr2)
get_predictions("Angela Merkel lehnt eine Obergrenze ab.", output = "word")
#> # A tibble: 7 x 4
#>   sentence    id prediction word      
#>      <int> <int> <chr>      <chr>     
#> 1        1     1 B-Claim    Angela    
#> 2        1     2 I-Claim    Merkel    
#> 3        1     3 I-Claim    lehnt     
#> 4        1     4 I-Claim    eine      
#> 5        1     5 I-Claim    Obergrenze
#> 6        1     6 I-Claim    ab        
#> 7        1     7 I-Claim    .

Access the documentation for further examples (help(package = "mardyr2")).