weixin_43634785的博客

Bag of words表示 from sklearn.feature_extraction.text import CountVectorizer corpus = [ 'This is the first document.', 'This document is the second document.', 'And this is the third one.', 'Is this the first document?', ] vectorizer = CountV

Base import pandas as pd from sklearn.metrics import f1_score import fasttext # 转换为fasttext需要的格式 train_df = pd.read_csv('./data/train_set.csv', sep='\t', nrows=1500) train_df['label_ft'] = '__label__' + train_df['label'].astype(str) # 前10000个转换作为训练集 train