达观杯文本智能处理挑战赛 练手代码实现
1 import pandas as pd
2
3 import imp
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5 from sklearn.linear_model import LogisticRegression
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7 from sklearn.feature_extraction.text import CountVectorizer
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9
10
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12 df_test = pd.read_csv(r'testset.csv')
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14 df_train = pd.read_csv(r'trainset.csv')
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16 df_train.drop(columns=['article','id'],inplace=True)
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18 df_test.drop(columns=['article'],inplace=True)
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22 vectorizer = CountVectorizer(ngram_range=(1, 2),min_df=3,max_df=0.9,max_features=10000)
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24 vectorizer.fit(df_train['word_seg'])
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26 x_train =vectorizer.transform(df_train['word_seg'])
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28 x_test =vectorizer.transform(df_test['word_seg'])
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30 y_train =df_train['class']-1
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32
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34 lg = LogisticRegression(C=4,dual=True)
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36 lg.fit(x_train,y_train)
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38
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40 y_test = lg.predict(x_test)
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44 df_test['class'] = y_test.tolist()
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46 df_test['class'] = df_test['class'] + 1
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48 df_result =df_test.loc[:,['id','class']]
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50 df_result.to_csv('./result.csv',index=False)
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52
53
54 print("完成")
运行结果是：
pandas.errors.ParserError: Error tokenizing data. C error: out of memory
这是因为我的电脑内存太小，导致了内存溢出，因此换一台电脑就可以得到最终得分为72分的答案了。笔者最终排名位于全国前300名，算是一个个人感觉还不错的成绩了。
