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@@ -88,7 +88,7 @@ Although the ITS analysis takes data density variability and seasonality into ac
%3 segment example like it will be used later
% with lower sentiment first and higher sentiment after the change
%
For demonstration purposes, this section shows how to create a synthetic example for ITS. The example has 3 segments, equal to the number of segments that will be used in the analysis in the next sections. In this example the sentiment is lower before the change occurs and high after the change has occurred. This example also includes data density variablily, i.e., there are a different amount of data points for each month. The example is shown visually in figure \ref{itsexample} is generated by the following algorithm:
For demonstration purposes, this section shows how to create a synthetic example for an ITS analysis. The example has 3 segments, equal to the number of segments that will be used in the analysis in the next sections. In this example, the sentiment is lower before the change occurs and high after the change has occurred. This example also includes data density variablily, i.e., there are a different amount of data points for each month. The example is shown visually in figure \ref{itsexample} is generated by the following algorithm:
\begin{itemize}
\item Select time frame: for instance, 15 months before and after the change
\item Select base values: before the change choose a base value of $0.10$ and after the change choose a base value of $0.15$