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2022-08-15 19:31:56 +02:00
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text/3_method.tex
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@@ -34,7 +34,7 @@ Furthermore, Vader also detects language features commonly found in social media
After all these features are considered, Vader assigns a sentiment value between -1 and 1 on a continuous range. The sentiment range is divided into 3 classes: negative (-1 to -0.05), neutral (-0.05 to 0.05), and positive (0.05 to 1). The outer edges of this range are rarely reached as the text would have to be extremely negative or positive which is very unlikely.
%speed
Due to this mathematical simplicity, Vader is really fast when computing a sentiment value for a given text. This feature is one of the requirements \citeauthor{hutto2014vader} originally posed. They proposed that Vader shall be fast enough to do online (real-time) analysis of social media text.
Due to this mathematical simplicity, Vader is really fast when computing a sentiment value for a given text. This feature is one of the requirements \citeauthor{hutto2014vader} originally posed. They proposed that Vader shall be fast enough to do online (real-time) analysis of social media text.
%simplicy
Vader is also easy to use. It does not require any pre-training on a dataset as it already has a human-curated lexicon and rules related to grammar and syntax. Therefore the sentiment analysis only requires an input to evaluate. This thesis uses a publicly available implementation of Vader.\footnote{\url{https://github.com/cjhutto/vaderSentiment}}
The design of Vader allows fast and verifiable analysis.
@@ -101,7 +101,7 @@ This algorihm generates an ITS where the line before the change is on a lower le
\centering\includegraphics[scale=0.7]{figures/itsexample}
\caption{An example that visualizes how ITS works. The change of the system occurs at month 0. The blue line shows the average sentiment of fictional answers grouped by month. The numbers attached to the blue line show the number of sentiment values for a given month. The yellow line represents the ITS analysis as a three-segment line. This example shows the expected behavior of the data sets in the following sections.}
\label{itsexample}
\end{figure}\label{itsexample}
\end{figure}
%interrupted time series