Python question: This requires knowledge of gensim NLP package. The following code returns an error due to its return: def document_vector(doc): doc = [word for word in doc if word in w2v.wv.key_to_index] return np.mean(w2v[doc], axis=0) Debug this code as it returns this error: File ~\anaconda3\lib\site-packages\pandas\_libs\lib.pyx:2870, in pandas._libs.lib.map_infer() Input In [160], in document_vector(doc) 2 """Create document vectors by averaging word vectors. Remove out-of-vocabulary words.""" 3 doc = [word for word in doc if word in w2v.wv.key_to_index] ----> 4 return np.mean(w2v[doc], axis=0) TypeError: 'Word2Vec' object is not subscriptable

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Stack operations

A stack is a linear data structure that follows certain order to perform the operation; the order will be LIFO (Last In First Out) data structure. In the stack data structure elements/items are removed and added only from the top. The topmost stack item/element is pointed by the top pointer and the element which is added to the stack first will get deleted at the last.