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Hi
Can I ask that what is input_aspect ?
Is the aspect like query terms? If so , then what is training[1] in 'history = nn_model.fit(training[0], training[1]' of model_target.py ?
The text was updated successfully, but these errors were encountered:
input_aspect refers to the words of the topic (aspect). In the target based tasks (B, C, D, E) we have to estimate the sentiment polarity of a tweet with respect to a given topic, which may be one or more words.
It corresponds to the topic input in the following figure (same thing - different name).
Hi
Can I ask that what is input_aspect ?
Is the aspect like query terms? If so , then what is training[1] in 'history = nn_model.fit(training[0], training[1]' of model_target.py ?
The text was updated successfully, but these errors were encountered: