Convolutional neural network for multi-classes text classification

Question

I have a CSV file with two columns, 'sentence' is string of sentences, emoID is 1-7 integer such as following:

sentence           emoID
During the period of falling in love.       1
When I was involved in a traffic accident.  2
 .....                                      ...

I need to classify each sentence to its corresponding emoID. I saw a example that classify two classes likes follow:

# Generate labels
positive_labels = [[0, 1] for _ in positive_examples]
negative_labels = [[1, 0] for _ in negative_examples]

Now I have 7 classes rather than two, how could I generate 7 labels for each class? I am beginner of python, many thanks for your help!

Answer 1

您可以使用具有7个条目的数组，对于类n，在数组中的位置n上具有条目1，其余为0。例如，类3：[0,0,1,0,0,0,0]并且：

c3_labels = [[0,0,1,0,0,0,0] for _ in c3_examples]