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电影短评情感分析

数据集说明

data目录里面的数据，只有2万行，完整的数据可关注[斗码小院]公众号，回复"情感分析数据集"获取。

代码说明

本项目为电影短评情感分析项目，代码文件说明：

  1. code/preprocessing.py: 预处理文件
  2. code/stacking.py: stacking模型融合项目
  3. code/sentiment_analysis.py: 基于传统的机器学习算法的情感分析模型。
  4. code/dl_sa.py: 基于深度学习的情感分析模型。

模型结果

电影短评情感分析：各大模型江湖再见

模型名称 Accuracy Precision Recall F1-Score AUC
word-level-tfidf-LR 0.872 0.87 0.87 0.87 0.9438
word-level-tfidf-MNB 0.862 0.86 0.86 0.86 0.9394
word-level-tfidf-RF 0.8219 0.82 0.82 0.82 0.8930
word-level-tfidf-GBDT 0.723 0.72 0.72 0.71 0.8183
word-ngram-tfidf-LR 0.8724 0.87 0.87 0.87 0.9439
word-ngram-tfidf-MNB 0.8642 0.86 0.86 0.86 0.9399
word-ngram-tfidf-RF 0.8212 0.82 0.82 0.82 0.8925
word-ngram-tfidf-GBDT 0.7630 0.77 0.76 0.76 0.8588
char-ngram-tfidf-LR 0.8866 0.89 0.89 0.89 0.9552
char-ngram-tfidf-MNB 0.8657 0.87 0.87 0.87 0.9410
char-ngram-tfidf-RF 0.8276 0.83 0.83 0.83 0.9009
char-ngram-tfidf-GBDT 0.7686 0.78 0.77 0.77 0.8613

Contributor

  1. Diwei Liu

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