Identifying Purpose Behind Electoral Tweets
Table 8: Confusion Matrix: Question 1 (fine-grained). The value in a particular cell, say for row x and column y, is the number of annotations that were assigned label y even though the majority votes for each of those tweets were for x. The highest number in each row is shown in bold.
['favour', '[EMPTY]', '[BOLD] c1', '[BOLD] c2', '[BOLD] c3', '[BOLD] c4', '[BOLD] c5', '[BOLD] c6', '[BOLD] c7', '[BOLD] c8', '[BOLD] c9', '[BOLD] c10', '[BOLD] c11']
There also exist tweets where the purpose is unclear. The rows and columns of the matrix correspond to the eleven options. The value in a particular cell, say for row x and column y, is the number of annotations that were assigned label y even though the majority votes for each of those tweets were for x. The highest number in each row is shown in bold. The cells in the diagonal correspond to the number of instances for which the annotations matched the majority vote.