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@@ -281,11 +281,6 @@ data in a supervised manner. The new coupled model can be seen in Figure 5 under
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  obtained results with related metrics. With this implementation, we achieved new levels of accuracy with 86% for the CNN
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  architecture and 88% for the LSTM architecture.
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- We can couple it to our classification models (Fig. 4), realizing transferlearning and then training the model with the labeled
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- data in a supervised manner. The new coupled model can be seen in Figure 5 under word2vec model training. The Table 3 shows the
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- obtained results with related metrics. With this implementation, we achieved new levels of accuracy with 86% for the CNN
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-
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-
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  Table 6: Results from Pre-trained WE + ML models
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  | ML Model | Accuracy | F1 Score | Precision | Recall |
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  |:--------:|:---------:|:---------:|:---------:|:---------:|
 
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  obtained results with related metrics. With this implementation, we achieved new levels of accuracy with 86% for the CNN
282
  architecture and 88% for the LSTM architecture.
283
 
 
 
 
 
 
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  Table 6: Results from Pre-trained WE + ML models
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  | ML Model | Accuracy | F1 Score | Precision | Recall |
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  |:--------:|:---------:|:---------:|:---------:|:---------:|