Title |
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
|
---|---|
Published in |
PeerJ Computer Science, October 2016
|
DOI | 10.7717/peerj-cs.93 |
Authors |
Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preoţiuc-Pietro, Vasileios Lampos |
Country | Count | As % |
---|---|---|
United Kingdom | 27 | 17% |
United States | 21 | 13% |
Germany | 6 | 4% |
Canada | 5 | 3% |
Netherlands | 5 | 3% |
Spain | 5 | 3% |
France | 4 | 3% |
Poland | 4 | 3% |
India | 4 | 3% |
Other | 24 | 15% |
Unknown | 54 | 34% |
Type | Count | As % |
---|---|---|
Members of the public | 121 | 76% |
Scientists | 32 | 20% |
Practitioners (doctors, other healthcare professionals) | 3 | 2% |
Science communicators (journalists, bloggers, editors) | 3 | 2% |
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Germany | 1 | <1% |
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Russia | 1 | <1% |
Japan | 1 | <1% |
Poland | 1 | <1% |
Unknown | 473 | 98% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 66 | 14% |
Student > Master | 65 | 14% |
Student > Bachelor | 53 | 11% |
Researcher | 38 | 8% |
Student > Doctoral Student | 26 | 5% |
Other | 80 | 17% |
Unknown | 153 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 110 | 23% |
Social Sciences | 83 | 17% |
Engineering | 22 | 5% |
Business, Management and Accounting | 14 | 3% |
Psychology | 13 | 3% |
Other | 63 | 13% |
Unknown | 176 | 37% |