Table 9. Entropy of the keywords used by each candidate and its 3-community.
The 10 dominant keywords as well as their percentage are also shown. The maximum entropy is 10.64, when the 1596 keywords are discussed uniformly.
Name | Entropy | N0 keywords | Dominant keyword | % |
---|---|---|---|---|
François Asselineau | 5.98 | 63.2 | Frexit, Europe, poll, media, Brexit, nation, elected officials, democracy, treaties, the Euro | 48.7 |
Benoît Hamon | 7.77 | 218.6 | republic, youth employment, universal income, democracy, Europe, elected officials, ecology, nation, children | 21.1 |
François Fillon | 7.75 | 215.8 | media, poll, republic, upturn, elected officials, unemployed, police, nation, work, security | 19.6 |
Emmanuel Macron | 7.71 | 209.1 | Penelope Fillon, republic, elected officials, work, poll, justice, unemployed, Europe, police, indictment | 19.8 |
Marine Le Pen | 7.82 | 226.2 | nation, islamists, patriotism, police, media, poll, unemployed, migrants, elected officials, terrorism | 20.7 |
Jean-Luc Mélenchon | 7.53 | 184.8 | French labor law, nation, work, republic, nuitdebout, poll, elected officials, media, Penelope Fillon, unemployed | 24.3 |
All | 8.23 | 301.23 | nation, republic, poll, elected officials, media, unemployed, work, Frexit, police, Europe | 17.5 |