무회blog

In [1]: # Word2Vec embedding # from gensim.models import Word2Vec from gensim.models.word2vec import Word2Vec from gensim.models import KeyedVectors from gensim import models from collections import defaultdict from gensim import corpora from gensim import similarities from gensim.summarization import summarize import pandas as pd import time, timeit, os, sys , re , math from nltk import sent_to..