Ensemble model -- 2
Budget: $10 – $30 USD
i want to apply the below experiments to build the ensemble model for multi-class labels:
1. word2vec with BiLSTM, BiGRU, SVM
2. GLOVE with BiLSTM, BiGRU, SVM
3. BERT with BiLSTM, BiGRU, SVM
4. Feature extraction to train SVM
In all the above experiments we use it as a base classifier, then we will print the probability for each class label for each model for each instance to use them as features to train the Meta classifier which is MLP.
note: I have a deadline for this task.
note the price is in the range that I detect, so please if the budget is not suitable for you, do not provide a bid.
note: I have the code for word2vec and Glove with all deep learning models, so if you want it I will pass it for you.
note: the dataset is multi-label, and the number of instances is 10,000, which is small.
note: the most important is achieving high results compared with previous research results.
1. word2vec with BiLSTM, BiGRU, SVM
2. GLOVE with BiLSTM, BiGRU, SVM
3. BERT with BiLSTM, BiGRU, SVM
4. Feature extraction to train SVM
In all the above experiments we use it as a base classifier, then we will print the probability for each class label for each model for each instance to use them as features to train the Meta classifier which is MLP.
note: I have a deadline for this task.
note the price is in the range that I detect, so please if the budget is not suitable for you, do not provide a bid.
note: I have the code for word2vec and Glove with all deep learning models, so if you want it I will pass it for you.
note: the dataset is multi-label, and the number of instances is 10,000, which is small.
note: the most important is achieving high results compared with previous research results.