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 | ||
.........\3.txt | ||
.........\python 代码.txt | ||
.........\Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954\.gitignore | ||
.........\......................................................................\main\Feature extraction module\Difference features\entropy perplexity feature.py | ||
.........\......................................................................\....\.........................\Informative features\centroid score feature.py | ||
.........\......................................................................\....\.........................\....................\name brand attribute feature.py | ||
.........\......................................................................\....\.........................\....................\product name | brand and attribute\attibute.txt | |
.........\......................................................................\....\.........................\....................\.................................\brand.txt | ||
.........\......................................................................\....\.........................\....................\.................................\name.txt | ||
.........\......................................................................\....\.........................\....................\review and editorial review similarity\Editorial review example.txt | ||
.........\......................................................................\....\.........................\....................\review similarity feature.py | ||
.........\......................................................................\....\.........................\Linguisitic features\adj adv v feature.py | ||
.........\......................................................................\....\.........................\....................\word sentence length feature.py | ||
.........\......................................................................\....\.........................\Sentiment features\Machine learning features\pos neg ml feature.py | ||
.........\......................................................................\....\.........................\..................\.........................\seniment review set\neg_review.xlsx | ||
.........\......................................................................\....\.........................\..................\.........................\...................\pos_review.xlsx | ||
.........\......................................................................\....\.........................\..................\.........................\sentiment_classifier.pkl | ||
.........\......................................................................\....\.........................\..................\.........................\store sentiment classifier.py | ||
.........\......................................................................\....\.........................\..................\Sentiment dictionary features\pos neg senti dict feature.py | ||
.........\......................................................................\....\.........................\..................\.............................\sentiment dictionary\adverbs of degree dictionary\insufficiently.txt | ||
.........\......................................................................\....\.........................\..................\.............................\....................\............................\inverse.txt | ||
.........\......................................................................\....\.........................\..................\.............................\....................\............................\ish.txt | ||
.........\......................................................................\....\.........................\..................\.............................\....................\............................\more.txt | ||
.........\......................................................................\....\.........................\..................\.............................\....................\............................\most.txt | ||
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