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Table 5 F1-Score results of models pre-trained on SemEval-2016 and fine-tuned on the concussion dataset. The original performance of the not pre-trained model is also illustrated for comparison. In addition, the top-performing models are bolded

From: A deep neural network approach for sentiment analysis of medically related texts: an analysis of tweets related to concussions in sports

Model Layer/Filter Sizes F1 (%) Non-Pre-trained F1 (%) Pre-trained SemEval-2016
Single layer CNN [1, 2]
[1, 2, 3]
62.01
61.35
60.76
61.39
Multi-layer CNN [1, 2] 61.21 60.93
LSTM [255] 61.38 61.17
Bi-Dir LSTM [255] 60.78 60.66
  1. Bold values indicates the top-performing models