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DRAG DROP
You need to define an evaluation strategy for the crowd sentiment models.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:
Correct Answer:
Explanation/Reference:
Explanation:
Step 1: Define a cross-entropy function activation When using a neural network to perform classification and prediction, it is usually better to use cross-entropy error than classification error, and somewhat better to use cross-entropy error than mean squared error to evaluate the quality of the neural network.
Step 2: Add cost functions for each target state.
Step 3: Evaluated the distance error metric.
References:
https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques/02 – Develop models
Sigmoid activation function
Cross-entropy loss / error function
Evaluate classification error
Sentiment analysis is multi-class classification, as for other terms, I am pretty sure they are messed up!