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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