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 |
|---|---|---|
|
| ||
| 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 | ||
| .... |