文件名称:sentiment
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对企业的新闻动态,通过情感分析的方法,利用matlab编程实现,确定新闻的好坏程度-News of the companies, by the method of sentiment analysis, the use of matlab programming, to determine the extent of bad news
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下载文件列表
文件名 | 大小 | 更新时间 |
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sentiment/2.txt | ||
sentiment/3.txt | ||
sentiment/python 代码.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/.gitignore | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Difference features/entropy perplexity feature.py | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Informative features/centroid score feature.py | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Informative features/name brand attribute feature.py | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Informative features/product name | brand and attribute/attibute.txt | |
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Informative features/product name | brand and attribute/brand.txt | |
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Informative features/product name | brand and attribute/name.txt | |
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Informative features/review and editorial review similarity/Editorial review example.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Informative features/review similarity feature.py | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Linguisitic features/adj adv v feature.py | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Linguisitic features/word sentence length feature.py | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Machine learning features/pos neg ml feature.py | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Machine learning features/seniment review set/neg_review.xlsx | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Machine learning features/seniment review set/pos_review.xlsx | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Machine learning features/sentiment_classifier.pkl | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Machine learning features/store sentiment classifier.py | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/pos neg senti dict feature.py | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/sentiment dictionary/adverbs of degree dictionary/insufficiently.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/sentiment dictionary/adverbs of degree dictionary/inverse.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/sentiment dictionary/adverbs of degree dictionary/ish.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/sentiment dictionary/adverbs of degree dictionary/more.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/sentiment dictionary/adverbs of degree dictionary/most.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/sentiment dictionary/adverbs of degree dictionary/over.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/sentiment dictionary/adverbs of degree dictionary/very.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/sentiment dictionary/positive and negative dictionary/negdict.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment dictionary features/sentiment dictionary/positive and negative dictionary/posdict.txt | ||
sentiment/Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954/main/Feature extraction module/Sentiment features/Sentiment |
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