Traceback (most recent call last):
File "D:\WJYworkplace\PythonWorkPlace\NLP\JDmobileComent\Demo\w2v.py", line 154, in <module>
train()
File "D:\WJYworkplace\PythonWorkPlace\NLP\JDmobileComent\Demo\w2v.py", line 148, in train
index_dict, word_vectors,combined=word2vec_train(combined)
File "D:\WJYworkplace\PythonWorkPlace\NLP\JDmobileComent\Demo\w2v.py", line 90, in word2vec_train
index_dict, word_vectors,combined = create_dictionaries(model=model,combined=combined)
File "D:\WJYworkplace\PythonWorkPlace\NLP\JDmobileComent\Demo\w2v.py", line 57, in create_dictionaries
w2vec = {word: model[word] for word in w2indx.keys()}#所有頻數超過10的詞語的詞向量
File "D:\WJYworkplace\PythonWorkPlace\NLP\JDmobileComent\Demo\w2v.py", line 57, in <dictcomp>
w2vec = {word: model[word] for word in w2indx.keys()}#所有頻數超過10的詞語的詞向量
TypeError: 'Word2Vec' object is not subscriptable
京東評論情感分析的專案，W2V不能下標訪問要怎么改呢這個問題
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