{"provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/upura/","title":"\u8a00\u8a9e\u51e6\u7406100\u672c\u30ce\u30c3\u30af 2020\u300c66. WordSimilarity-353\u3067\u306e\u8a55\u4fa1\u300d","type":"rich","provider_url":"https://hatena.blog","image_url":null,"height":"190","url":"https://upura.hatenablog.com/entry/2023/11/05/195340","version":"1.0","description":"\u554f\u984c\u6587 nlp100.github.io \u554f\u984c\u306e\u6982\u8981 \u8a00\u8a9e\u51e6\u7406100\u672c\u30ce\u30c3\u30af 2020\u300c61. \u5358\u8a9e\u306e\u985e\u4f3c\u5ea6\u300d - u++\u306e\u5099\u5fd8\u9332 \u3068 \u8a00\u8a9e\u51e6\u7406100\u672c\u30ce\u30c3\u30af 2020\u300c64. \u30a2\u30ca\u30ed\u30b8\u30fc\u30c7\u30fc\u30bf\u3067\u306e\u5b9f\u9a13\u300d - u++\u306e\u5099\u5fd8\u9332 \u306e\u7d44\u307f\u5408\u308f\u305b\u3067\u3059\u3002 import numpy as np import pandas as pd from gensim.models import KeyedVectors from tqdm import tqdm def culcCosSim(row): global model return model(row['Word 1'], row['Word 2']) \u2026","blog_title":"u++\u306e\u5099\u5fd8\u9332","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fupura.hatenablog.com%2Fentry%2F2023%2F11%2F05%2F195340\" title=\"\u8a00\u8a9e\u51e6\u7406100\u672c\u30ce\u30c3\u30af 2020\u300c66. WordSimilarity-353\u3067\u306e\u8a55\u4fa1\u300d - u++\u306e\u5099\u5fd8\u9332\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","width":"100%","author_name":"upura","blog_url":"https://upura.hatenablog.com/","categories":["python","\u81ea\u7136\u8a00\u8a9e\u51e6\u7406"],"published":"2023-11-05 19:53:40"}