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wea_ondara
2020-04-05 13:36:40 +02:00
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text/3_method.tex
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@@ -1,5 +1,12 @@
\chapter{Methodology} \chapter{Methodology}
% about the change
% https://meta.stackexchange.com/questions/314287/come-take-a-look-at-our-new-contributor-indicator \cite{post2018come}
% https://meta.stackexchange.com/questions/314472/what-are-the-exact-criteria-for-the-new-contributor-indicator-to-be-shown \cite{sonic2018what} ; change date = 2018-08-21T21:04:49.177
% new user indicator visible for 1 week ...
% sentiment calculation via vaderlib, write whole paragraph and explain, also add ref to paper \cite{hutto2014vader} % sentiment calculation via vaderlib, write whole paragraph and explain, also add ref to paper \cite{hutto2014vader}
% data sets as xml files from archive.org \cite{archivestackexchange} % data sets as xml files from archive.org \cite{archivestackexchange}
@@ -10,10 +17,7 @@
% calc sentiment for answers % calc sentiment for answers
% about the change
% https://meta.stackexchange.com/questions/314287/come-take-a-look-at-our-new-contributor-indicator \cite{post2018come}
% https://meta.stackexchange.com/questions/314472/what-are-the-exact-criteria-for-the-new-contributor-indicator-to-be-shown \cite{sonic2018what} ; change date = 2018-08-21T21:04:49.177
% new user indicator visible for 1 week ...
@@ -25,6 +29,7 @@
%interrupted time series %interrupted time series
% ref tutorial paper \cite{bernal2017interrupted} % ref tutorial paper \cite{bernal2017interrupted}
% often used in medical fields to see if changes have an effect % often used in medical fields to see if changes have an effect
% linear regression
% used same tensors as describe in paper, show formula and how it works, 3 tensors describe tensors and what they capture % used same tensors as describe in paper, show formula and how it works, 3 tensors describe tensors and what they capture
% explain why i chose this model, captures the change, more complex model would capture more but also get more complicated, these 3 tensors are enough to see the impact % explain why i chose this model, captures the change, more complex model would capture more but also get more complicated, these 3 tensors are enough to see the impact
% fitting every value not aggregated values, aggregated values would have different weights, weights are too far spread, contrary to paper where person years are more or less constant % fitting every value not aggregated values, aggregated values would have different weights, weights are too far spread, contrary to paper where person years are more or less constant