文件名称: sentiment下载  收藏√  [

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开发工具: matlab

文件大小: 18136 KB

上传时间: 2015-09-25

下载次数: 0

提 供 者: zxx

详细说明：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

文件列表(点击判断是否您需要的文件，如果是垃圾请在下面评价投诉):

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

.........\......................................................................\....\.........................\..................\.............................\....................\............................\over.txt

.........\......................................................................\....\.........................\..................\.............................\....................\............................\very.txt

.........\......................................................................\....\.........................\..................\.............................\....................\positive and negative dictionary\negdict.txt

.........\......................................................................\....\.........................\..................\.............................\....................\................................\posdict.txt

.........\......................................................................\....\.........................\..................\.............................\.................... source\ntusd-negative.txt

.........\......................................................................\....\.........................\..................\.............................\...........................\ntusd-positive.txt

.........\......................................................................\....\.........................\..................\.............................\...........................\正面情感词语(中文).txt

.........\......................................................................\....\.........................\..................\.............................\...........................\正面评价词语(中文).txt

.........\......................................................................\....\.........................\..................\.............................\...........................\负面情感词语(中文).txt

.........\......................................................................\....\.........................\..................\.............................\...........................\负面评价词语(中文).txt

.........\......................................................................\....\Helpfulness prediction module\Feature set with different threshold\f0581.txt

.........\......................................................................\....\.............................\....................................\f5.txt

.........\......................................................................\....\.............................\....................................\f6.txt

.........\......................................................................\....\.............................\....................................\f7.txt

.........\......................................................................\....\.............................\....................................\f8.txt

.........\......................................................................\....\.............................\....................................\f9.txt

.........\......................................................................\....\.............................\helpfulness prediction (classification).py

.........\......................................................................\....\Preprocessing module\original segmentation dictionary source\口语方言.txt

.........\......................................................................\....\....................\.......................................\屌丝.txt

.........\......................................................................\....\....................\.......................................\手机词汇大全【官方推荐】.txt

.........\......................................................................\....\....................\.......................................\推荐实用流行新词.txt

.........\......................................................................\....\....................\.......................................\潮词潮语.txt

.........\......................................................................\....\....................\.......................................\网络流行语.txt

.........\......................................................................\....\....................\.......................................\超级粤语大全.txt

.........\......................................................................\....\....................\.......................................\阿里巴巴产品词汇－通讯产品.txt

.........\......................................................................\....\....................\sentiment_stopword.txt

.........\......................................................................\....\....................\stopword.txt

.........\......................................................................\....\....................\textprocessing.py

.........\......................................................................\....\....................\userdict.txt

.........\......................................................................\....\Review set\HTC Z710t_review_2013.6.5.xlsx

.........\......................................................................\....\..........\Meizu MX_review_2013.6.7.xlsx

.........\......................................................................\....\..........\Motorala ME525+_review_2013.6.6.xlsx

.........\......................................................................\....\..........\Nokian 5230_review_2013.6.7.xlsx

.........\......................................................................\....\..........\OPPO X909_review_2013.6.7.xlsx

.........\......................................................................\....\..........\Samsung I9100_review_2013.6.6.xlsx

.........\......................................................................\....\..........\中兴U880_review_2013.6.6.xlsx

.........\......................................................................\README.md

.........\Review-Helpfulness-Prediction-377ff4c86a7cb6dd0b15b33f6baaf1511aa8f954.zip

.........\sentiment matlab\sentiment_score.m

.........\................\sentiment_test.m

.........\..........python\sentiment_test.py

.........\................\textprocessing.py

.........\........._0.1\sentiment\ChangeLog

.........\.............\.........\data\datalist

.........\.............\.........\....\emotions.csv.gz

.........\.............\.........\....\subjectivity.csv.gz

.........\.............\.........\DESCRIPTION

.........\.............\.........\man\classify_emotion.Rd

.........\.............\.........\...\classify_polarity.Rd

.........\.............\.........\...\create_matrix.Rd

.........\.............\.........\...\emotions.Rd

.........\.............\.........\...\subjectivity.Rd

.........\.............\.........\MD5

.........\.............\.........\NAMESPACE

.........\.............\.........\R\classify_emotion.R

.........\.............\.........\.\classify_polarity.R

.........\.............\.........\.\create_matrix.R

.........\sentiment_0.1.tar.gz

.........\sentiment_0.2.tar.gz

.........\test.xlsx

.........\test1.txt

.........\中文短文本情感倾向性分析研究_宋静静.caj

.........\基于情感词典的中文微博情感分析研究_郑毅.caj

.........\情感词典\dict.xlsx

.........\........\台湾大学简体中文情感极性词典\dataset_617613\617613.rar

.........\........\............................\..............\ntusd\ntusd-negative.txt

.........\........\............................\..............\.....\ntusd-positive.txt

.........\........\............................\..............\README-datatang.txt

.........\........\............................\..............\url.txt

.........\........\............................\dataset_617613.rar

.........\........\哈工大整理同义词词林拓展版\612465.zip

.........\........\..........................\dataset_612465.rar

.........\........\..........................\README-datatang.txt

.........\........\..........................\url.txt

.........\........\..........................\哈工大信息检索研究中心同义词词林扩展版 HIT-SCIR Tongyici Cilin (Extended)\哈工大信息检索研究中心同义词词林扩展版.txt

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