Determining Automatic analysis of Populist Language Tweets in the Dutch Political spectrum
نویسنده
چکیده
The usage of populist language in politics has always been present. Since the rise of social media and it being the primary channel of quick communication to the populous, one can analyze populist language usage by looking at posted messages. However, this current analysis is very labor intensive. The main research question is to determine if it is possible to create a tool that will analyze populist language automatically according to a pre-programmed internal dictionary which is built on keywords and annotated data. Populist language and its related keywords are defined by a literature study. This annotated data is the outcome of a survey that consists of a random selection of tweets. The annotated data will be used for a LIWC dictionary analysis that determines the several word categories that have the highest relation with populism. The tool that is built on these word categories has its limitations but shows signs of steps towards automatic analysis.
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