回答編集履歴
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test
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@@ -28,7 +28,7 @@
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ジョブズのガレージは製造したコンピュータの動作確認や納品のために使用されていた [21][22]。
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'''
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'''.strip()
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ジョブズのガレージは製造したコンピュータの動作確認や納品のために使用されていた [21][22]。
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'''
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'''.strip()
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#
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UserWarning: [W007] The model you're using has no word vectors loaded, so the result of the
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UserWarning: [W007] The model you're using has no word vectors loaded, so the result of the
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Doc.similarity method will be based on the tagger, parser and NER, which may not give useful
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similarity judgements. This may happen if you're using one of the small models,
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e.g. `en_core_web_sm`, which don't ship with word vectors and only use context-sensitive tensors.
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You can always add your own word vectors, or use one of the larger models instead if available.
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print(text1.similarity(text2))
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0.972
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0.9702315447787564
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```
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