Research Article

Exploiting Language Models to Classify Events from Twitter

Table 6

Experimental results.

CategoryNNSVMNN-M1 (ours)NN-M2 (ours)

Event 176.371.673.875.275.575.386.177.581.688.282.685.3
Event 684.685.484.986.987.287.191.189.490.289.186.487.7
Event 778.972.375.580.476.278.287.582.384.882.478.980.6
Event 983.978.881.385.580.282.393.892.993.487.283.385.2
Event 1383.672.477.582.875.679.186.280.583.387.382.684.9
Event 1470.167.868.971.670.070.885.278.781.883.874.378.8
Event 1579.371.575.281.070.875.690.187.988.988.885.887.3
Event 1680.572.476.282.573.177.585.780.082.885.579.682.5
Event 2181.674.177.782.476.879.583.977.880.785.477.181.0
Overall79.574.476.879.977.078.487.982.485.087.482.384.7