从文档平均向量

Question

我如何使用中型spaCy模型en_core_web_md来解析文档文件夹，从每个单词文档中获取单个向量，然后将它们平均在一起？

import spacy
nlp = spacy.load("en_core_web_md")

Answer 1

首先，您必须使用python file io / op。

将所有文档加载到列表中

#documents loaded into the python list.
documents_list = ['Hello, world','Here are two sentences.']
#Iterate over each document and initiate nlp instance.
for doc in documents_list:
    doc_nlp = nlp(doc)
    #this gives the average vector of each document.
    print(doc_nlp.vector)
    for token in doc_nlp:
        #this gives the text of each word in the doc and their vector.
        print(token.text,token.vector)

如果您需要任何澄清，请告诉我。