sentiment

所属分类matlab例程
开发工具:matlab
文件2018注册送白菜网:18136KB
下载次数:33
上传日期:2015-09-25 15:28:47
上 传 者zxx
说明:  对企业的新闻动态,通过情感分析的方法,利用matlab2018无需申请注册送58体验金实现,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)

文件列表:[举报垃圾]
sentiment
.........\2.txt,1959,2015-07-15
.........\3.txt,6145,2015-07-15
.........\python 代码.txt,66,2015-07-09
.........\Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954
.........\......................................................................\.gitignore,315,2014-05-15
.........\......................................................................\main
.........\......................................................................\....\Feature extraction module
.........\......................................................................\....\.........................\Difference features
.........\......................................................................\....\.........................\...................\entropy perplexity feature.py,1974,2014-05-15
.........\......................................................................\....\.........................\Informative features
.........\......................................................................\....\.........................\....................\centroid score feature.py,2625,2014-05-15
.........\......................................................................\....\.........................\....................\name brand attribute feature.py,1237,2014-05-15
.........\......................................................................\....\.........................\....................\product name, brand and attribute
.........\......................................................................\....\.........................\....................\.................................\attibute.txt,561,2014-05-15
.........\......................................................................\....\.........................\....................\.................................\brand.txt,421,2014-05-15
.........\......................................................................\....\.........................\....................\.................................\name.txt,742,2014-05-15
.........\......................................................................\....\.........................\....................\review and editorial review similarity
.........\......................................................................\....\.........................\....................\review similarity feature.py,4692,2014-05-15
.........\......................................................................\....\.........................\Linguisitic features
.........\......................................................................\....\.........................\....................\adj adv v feature.py,1044,2014-05-15
.........\......................................................................\....\.........................\....................\word sentence length feature.py,1085,2014-05-15
.........\......................................................................\....\.........................\Sentiment features
.........\......................................................................\....\.........................\..................\Machine learning features
.........\......................................................................\....\.........................\..................\.........................\pos neg ml feature.py,3772,2014-05-15
.........\......................................................................\....\.........................\..................\.........................\seniment review set
.........\......................................................................\....\.........................\..................\.........................\...................\neg_review.xlsx,158791,2014-05-15
.........\......................................................................\....\.........................\..................\.........................\...................\pos_review.xlsx,386384,2014-05-15
.........\......................................................................\....\.........................\..................\.........................\sentiment_classifier.pkl,146104,2014-05-15
.........\......................................................................\....\.........................\..................\.........................\store sentiment classifier.py,11060,2014-05-15
.........\......................................................................\....\.........................\..................\Sentiment dictionary features
.........\......................................................................\....\.........................\..................\.............................\pos neg senti dict feature.py,6860,2014-05-15
.........\......................................................................\....\.........................\..................\.............................\sentiment dictionary
.........\......................................................................\....\.........................\..................\.............................\....................\adverbs of degree dictionary
.........\......................................................................\....\.........................\..................\.............................\....................\positive and negative dictionary
.........\......................................................................\....\.........................\..................\.............................\sentiment dictionary source
.........\......................................................................\....\Helpfulness prediction module
.........\......................................................................\....\.............................\Feature set with different threshold
.........\......................................................................\....\.............................\....................................\f0581.txt,619094,2014-05-15
.........\......................................................................\....\.............................\....................................\f5.txt,619094,2014-05-15
.........\......................................................................\....\.............................\....................................\f6.txt,619094,2014-05-15
.........\......................................................................\....\.............................\....................................\f7.txt,619094,2014-05-15
.........\......................................................................\....\.............................\....................................\f8.txt,619094,2014-05-15
.........\......................................................................\....\.............................\....................................\f9.txt,619094,2014-05-15
.........\......................................................................\....\.............................\helpfulness prediction (classification).py,3926,2015-07-10
.........\......................................................................\....\Preprocessing module
.........\......................................................................\....\....................\original segmentation dictionary source
.........\......................................................................\....\....................\.......................................\口语方言.txt,543,2014-05-15
.........\......................................................................\....\....................\.......................................\屌丝.txt,119,2014-05-15
.........\......................................................................\....\....................\.......................................\手机词汇大全【官方推荐】.txt,3868,2014-05-15
.........\......................................................................\....\....................\.......................................\推荐实用流行新词.txt,28843,2014-05-15
.........\......................................................................\....\....................\.......................................\潮词潮语.txt,1581,2014-05-15
.........\......................................................................\....\....................\.......................................\网络流行语.txt,1070,2014-05-15
.........\......................................................................\....\....................\.......................................\超级粤语大全.txt,16082,2014-05-15
.........\......................................................................\....\....................\.......................................\阿里巴巴产品词汇-通讯产品.txt,4148,2014-05-15
.........\......................................................................\....\....................\sentiment_stopword.txt,3206,2014-05-15
.........\......................................................................\....\....................\stopword.txt,3351,2014-05-15
.........\......................................................................\....\....................\textprocessing.py,7192,2014-05-15
.........\......................................................................\....\....................\userdict.txt,37249,2014-05-15
.........\......................................................................\....\Review set
.........\......................................................................\....\..........\HTC Z710t_review_2013.6.5.xlsx,346630,2014-05-15
.........\......................................................................\....\..........\Meizu MX_review_2013.6.7.xlsx,443658,2014-05-15
.........\......................................................................\....\..........\Motorala ME525+_review_2013.6.6.xlsx,753238,2014-05-15
.........\......................................................................\....\..........\Nokian 5230_review_2013.6.7.xlsx,435031,2014-05-15
.........\......................................................................\....\..........\OPPO X909_review_2013.6.7.xlsx,417786,2014-05-15
.........\......................................................................\....\..........\Samsung I9100_review_2013.6.6.xlsx,642874,2014-05-15
.........\......................................................................\....\..........\中兴U880_review_2013.6.6.xlsx,545339,2014-05-15
.........\......................................................................\README.md,2979,2014-05-15
.........\Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954.zip,5917055,2015-07-10
.........\sentiment matlab
.........\................\sentiment_score.m,3418,2015-07-15
.........\................\sentiment_test.m,1421,2015-07-15
.........\sentiment python
.........\................\sentiment_test.py,104,2015-07-15
.........\................\textprocessing.py,7192,2014-05-15
.........\sentiment_0.1
.........\.............\sentiment
.........\.............\.........\ChangeLog,1320,2011-12-22
.........\.............\.........\data
.........\.............\.........\....\datalist,22,2012-01-02
.........\.............\.........\....\emotions.csv.gz,5653,2012-01-02
.........\.............\.........\....\subjectivity.csv.gz,27332,2012-01-02
.........\.............\.........\DESCRIPTION,512,2012-01-08
.........\.............\.........\man
.........\.............\.........\...\classify_emotion.Rd,2625,2012-01-02
.........\.............\.........\...\classify_polarity.Rd,2931,2012-01-02
.........\.............\.........\...\create_matrix.Rd,2911,2012-01-02
.........\.............\.........\...\emotions.Rd,1052,2012-01-02
.........\.............\.........\...\subjectivity.Rd,1028,2012-01-02
.........\.............\.........\MD5,735,2012-01-08
.........\.............\.........\NAMESPACE,50,2012-01-02
.........\.............\.........\R
.........\.............\.........\.\classify_emotion.R,2362,2012-01-02
.........\.............\.........\.\classify_polarity.R,1967,2012-01-02
.........\.............\.........\.\create_matrix.R,1149,2011-12-29
.........\sentiment_0.1.tar.gz,39194,2015-07-10
.........\sentiment_0.2.tar.gz,38880,2015-07-10
.........\test.xlsx,43237,2015-07-15
.........\test1.txt,10664,2015-07-15
.........\中文短文本情感倾向性分析研究_宋静静.caj,1092317,2015-07-08

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