Automated Author Profile

Masterson, Michael

University of Wisconsin-Madison

Current S-Index

2.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

6

Total datasets for this author

Average FAIR Score

50.6%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

1

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Using Word Order in Political Text Classification with Long Short-term Memory Models (Version: 3.0)

These are the supplementary files for "Using Word Order in Political Text Classification with Long Short-term Memory Models" by Charles Chang and Michael Masterson. They contain the code and scripts needed to replicate the paper. They also contain code templates to facilitate the use of LSTM models.

Authors

  • Masterson, Michael
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.7910/dvn/tuca2u2019

dataverse_repo.tar.gz

No description available

Authors

  • Masterson, Michael
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.7910/dvn/tuca2u/aqgwar2019

dataverse_repo.tar.gz

No description available

Authors

  • Masterson, Michael
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.7910/dvn/tuca2u/vtrqhb2019

dataverse_repo.tar.gz

No description available

Authors

  • Masterson, Michael
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.7910/dvn/tuca2u/obmegg2019

dataverse_repo.tar.gz

:unav

Authors

  • Chang, Charles ;
  • Masterson, Michael
0 Citations0 Mentions50% FAIR0.3 Dataset Index
10.7910/dvn/mrvkir/csorwb2019

Replication Data for: Using Word Order in Political Text Classification with Long Short-term Memory Models (Version: 1.0)

These are the supplementary files for "Using Word Order in Political Text Classification with Long Short-term Memory Models" by Charles Chang and Michael Masterson. They contain the code and scripts needed to replicate the paper. They also contain code templates to facilitate the use of LSTM models.

Authors

  • Chang, Charles ;
  • Masterson, Michael
1 Citation1 Mention65% FAIR1.1 Dataset Index
10.7910/dvn/mrvkir2019