论文阅读《ASSESSMENT OF FEATURE SELECTION METRICS FOR SENTIMENT ANALYSES: TURKISH MOVIE REVIEWS》
论文地址：ASSESSMENT OF FEATURE SELECTION METRICS FOR SENTIMENT ANALYSES: TURKISH MOVIE REVIEWS 情感分析通常使用电影评论，旅行顾问，商业评级，社交媒体和SMS数据作为实验数据。 这些文本可能包含三种情绪，例如积极，消极和中立。 在本论文中，使用语料库为土耳其电影评论，分类器为支持向量机和朴素贝叶斯，F1分数用于绩
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相关文章
- 1. Kaggle竞赛题之——Sentiment Analysis on Movie Reviews
- 2. 【SO-PMI】Sentiment classification of Movie and Product Reviews Using Contextual Valence Shifters
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- 6. 论文阅读《Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images》
- 7. NIMA：Neural Image Assessment论文阅读笔记
- 8. 【论文阅读】Feature Pyramid Grids
- 9. Unsupervised Personalized Feature Selection--阅读笔记
- 10. sentiment analysis with deep learning of Netflix reviews