Very little, it could be argued. Trained study staff conducted semi-structured interviews with participants before the pandemic, between April 2018 and August 2019. As such, they will admit only of solutions that are similarly social, economic, and political. WNLU uses deep learning to extract metadata from keywords, categories, sentiment, emotion and syntax. Most of these causes and factors are social, economic, and political in character.
The survey was conducted in the first six months of the year.
( z0 conduct :ARG1 ( z1 survey ) :time ( z2 temporal-quantity :quant 6 :ord ( z3 ordinal-entity :value 1 ) :part-of ( z4 year ) :unit ( z5 month ) ) :time ( z6 month ) )
(z0 / conduct-01
    :ARG1 (z1 / survey-01)
    :time (z2 / temporal-quantity
              :quant 6
              :ord (z3 / ordinal-entity
                       :value 1)
              :part-of (z4 / year)
              :unit (z5 / month))
    :time (z6 / month))
The survey was conducted in the first six months of the year .
z0 :ARG1 z1
z3 :value 0
z2 :quant 1
z2 :ord z3
z0 :time z2
z2 :unit z5
z0 :time z6
z2 :part-of z4