In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Q: We train our models on Sentiment140 and Amazon product reviews. Both of these datasets concentrates on sentiment represented by a short text. For training the softmax model, we divide the text sentiment to two kinds of emotion, positive and negative. And for training the tanh model, we convert the positive and negative emotion to [-1.0, 1.0] continuous sentiment score, while 1.0 means positive and vice versa.
Question: Was the introduced LSTM+CNN model trained on annotated data in a supervised fashion?
A:
Yes