Chapter 11, Detecting Customer Emotions to Make Predictions

1. It is not necessary to pretrain transformers for sentiment analysis. (True/False)

   False.

2. A sentence is always positive or negative. It cannot be neutral. (True/False)

   False.

3. The Principle of Compositionality signifies that a transformer must grasp every part of a sentence to understand it. (True/False)

   True.

4. RoBERTa-large was designed to improve the pretraining process of transformer models. (True/False)

   True.

5. A transformer can provide feedback that informs us whether a customer is satisfied or not. (True/False)

   True.

6. If the sentiment analysis of a product or service is consistently negative, it helps us make the proper decisions to improve our offer. (True/False)

   True.

7. If a model fails to provide a good result on a task, it requires more training before changing models. (True/False)

   True.