Evaluation of Political Sentiment on Twitter
With the increasing level of access to online political discourses, made possible
by the social media networks, a systematic analysis of political speech becomes
more critical. The available data could be useful in analyzing important
controversies and estimating the general public's opinion in important political events
. A deeper insight enables us to track the public's opinions to detect the shift of
sentiment and discuss on potential reasons why the shift has happened.
Twitter has thus far, shown to be the most effective social network for political
analysis. Tweets are limited to 140 characters which lead the users to make
succinct statements. The simplicity of text along with the relatively high level of
accessibility has made Twitter, a popular target for social analysts.
In this study, we have provided a mechanism for online and automatic collection
of Twitter data surrounding different people and events. The data is maintained
in an organized time based fashion which makes it easy for future references. We
have applied sentiment analysis to estimate political popularity and track the sentiment over time. Sentiment scores have been defined for multiple politicians in
order to allow for a comparison of popularity.