问题
I am trying to experiment gensim doc2vec, by using following code. As far as I understand from tutorials, it should work. However it gives AttributeError: 'list' object has no attribute 'words'.
from gensim.models.doc2vec import LabeledSentence, Doc2Vec
document = LabeledSentence(words=['some', 'words', 'here'], tags=['SENT_1'])
model = Doc2Vec(document, size = 100, window = 300, min_count = 10, workers=4)
So what did I do wrong? Any help please. Thank you. I am using python 3.5 and gensim 0.12.4
回答1:
Input to gensim.models.doc2vec should be an iterator over the LabeledSentence (say a list object). Try:
model = Doc2Vec([document], size = 100, window = 1, min_count = 1, workers=1)
I have reduced the window size, and min_count so that they make sense for the given input. Also go through this nice tutorial on Doc2Vec, if you haven't already.
来源：https://stackoverflow.com/questions/36509957/why-gensim-doc2vec-give-attributeerror-list-object-has-no-attribute-words