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分类和标签信息 #6

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yihui opened this issue Mar 17, 2017 · 10 comments
Open

分类和标签信息 #6

yihui opened this issue Mar 17, 2017 · 10 comments
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@yihui
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yihui commented Mar 17, 2017

多数文章的分类(categories)和标签(tags)信息需要修订。

@yihui
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yihui commented Apr 18, 2017

目前的所有分类和标签:

@Lchiffon
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Lchiffon commented Jul 12, 2017

更新标签的方式:

在contant/post的目录下面, 每篇文章头有一个YAML, 请把categories改成一级分类,如果还有下面的级别,就全部归为标签好了(关键词)tags修改成定义的标签名称,

比如https://github.com/cosname/cosx.org/blob/master/content/post/2008-11-23-cos-restructured.md:

---
title: “统计之都”网站结构调整
date: '2008-11-23T17:22:34+00:00'
author: COS管理员
categories:
  - 新闻通知
tags:
  - 博客
  - 统计之都
  - 维基
  - 网站
  - 论坛
  - 重构
slug: cos-restructured
forum_id: 418731
---

修改为:

---
title: “统计之都”网站结构调整
date: '2008-11-23T17:22:34+00:00'
author: COS管理员
categories:
  - 一级分类
tags:
  - 二级分类
slug: cos-restructured
forum_id: 418731
---

其他部分不需要做修改~

@Lchiffon
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Lchiffon commented Jul 12, 2017

No description provided.

@Huimincheng2015
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现有分类 一级分类 二级分类
cos访谈 活动 访谈
ggimage 应用 R包
ggplot2 应用 R包
leaflet 应用 R包
R 应用 软件应用
中国R会议 活动 会议
中国R语言会议 活动 会议
优化与模拟 理论 数学方法
出国留学 其他 教育
分析与代数 理论 数学方法
可视化 应用 可视化
回归分析 理论 经典统计方法
图书出版 其他 图书刊物
图片 应用 可视化
地图 应用 可视化
地理信息可视化 应用 可视化
多元统计 理论 经典统计方法
抽样调查 理论 数据来源
推荐文章 其他 图书刊物
数学方法 理论 数学方法
数据分析 理论 数据科学
数据挖掘与机器学习 理论 数据科学
新闻通知 其他 新闻通知
时间序列 理论 经典统计方法
概率论 理论 经典统计方法
模型专题 理论 数据科学
每周精选 其他 图书刊物
沙龙纪要 活动 沙龙
生物与医学统计 理论 生物与医学统计
经典理论 理论 经典统计方法
统计之都 活动 统计之都
统计刊物 其他 图书刊物
统计图形 应用 可视化
统计推断 理论 经典统计方法
统计计算 理论 统计计算
统计软件 应用 软件应用
网站导读 其他 网站导读
职业事业 其他 职业事业
计量经济学 理论 金融与计量统计
试验设计 理论 数据来源
贝叶斯方法 理论 经典统计方法
软件应用 应用 软件应用
金融统计 理论 金融与计量统计
随机过程 理论 数学方法
非参数统计 理论 经典统计方法
风险精算 理论 金融与计量统计
高校课堂 其他 教育

@yihui
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yihui commented Jul 16, 2017

分类的整理已经移至 #609。下面说说标签的事情。

所有标签在此:https://cosx.org/tags/

我建议优先解决这几个问题:

  1. 把那些频数只有 1 的标签清理一下,对于实在太稀有或者太泛泛的标签,直接去掉也无妨,跟分类名称重叠的标签也可以去掉(比如“估计”、“统计”、“统计之都”这都不像合格的关键词)。一个标签应该有那么几篇文章公用才叫标签。

  2. 完全缺失标签的文章应该补上标签:

> blogdown::find_tags(NULL)
...
[13] "content/post/2012-08-22-persi-diaconis-1.md"                                                    
[14] "content/post/2012-09-09-persi-diaconis2.md"                                                     
[15] "content/post/2012-10-11-china-r-shanghai-2012.md"                                               
[16] "content/post/2012-10-25-causality5-causal-diagram.md"                                           
[17] "content/post/2012-11-08-5th-china-r-shanghai-summary.md"                                        
[18] "content/post/2012-12-18-new-names-for-statistical-terms.md"                                     
[19] "content/post/2013-03-19-r-in-action.md"                                                         
[20] "content/post/2013-05-15-ggplot2.md"                                                             
[21] "content/post/2013-05-23-the-art-r-programming.md"                                               
[22] "content/post/2013-10-05-2013-china-r-conference-shanghai-notice.md"                             
[23] "content/post/2014-06-28-teaching-with-heart.md"                                                 
[24] "content/post/2014-10-26-the-news-about-statistics.md"                                           
[25] "content/post/2014-11-16-machine-learning.md"                                                    
[26] "content/post/2014-11-23-visualization-of-pm2-5.md"                                              
[27] "content/post/2014-11-30-various-data-visualization.md"                                          
[28] "content/post/2014-12-07-introduction-of-deep-learning.md"                                       
[29] "content/post/2014-12-21-the-visualization-of-weibo.md"                                          
[30] "content/post/2014-12-22-a-data-scientist-is-changing-peoples-vision-to-city.md"                 
[31] "content/post/2014-12-28-the-story-about-measure-theory.md"                                      
[32] "content/post/2015-01-04-talking-about-data-scientist.md"                                        
[33] "content/post/2015-01-05-ebola-in-the-big-data-era.md"                                           
[34] "content/post/2015-01-08-second_china_bayesian_statistics_conference_2014_review.md"             
[35] "content/post/2015-01-11-the-material-of-data-science-for-the-vacation.md"                       
[36] "content/post/2015-01-19-the-story-about-algorithm.md"                                           
[37] "content/post/2015-01-25-the-story-about-a-business-student-to-be-a-data-analyst.md"             
[38] "content/post/2015-02-01-the-story-about-statistics.md"                                          
[39] "content/post/2015-02-09-talking-about-p-value-again.md"                                         
[40] "content/post/2015-02-15-the-application-of-statistics-in-love.md"                               
[41] "content/post/2015-03-16-the-bulb-measurement-with-r.md"                                         
[42] "content/post/2015-03-21-using-r-to-search-for-your-partner.md"                                  
[43] "content/post/2015-03-22-the-big-data-of-medicine1.md"                                           
[44] "content/post/2015-03-23-the-big-data-of-medicine2.md"                                           
[45] "content/post/2015-03-29-let-us-talk-about-statistics.md"                                        
[46] "content/post/2015-04-07-8th-r-conference-guangzhou.md"                                          
[47] "content/post/2015-04-10-interview-of-chutingjin.md"                                             
[48] "content/post/2015-04-15-talking-about-r-software.md"                                            
[49] "content/post/2015-05-12-data-verb.md"                                                           
[50] "content/post/2015-05-17-a-statistical-view-of-deep-learning-i-recursive-glms.md"                
[51] "content/post/2015-05-17-talking-about-chinese-stock-market-in-the-view-of-the-data.md"          
[52] "content/post/2015-05-21-the-data-wisdom-for-data-science.md"                                    
[53] "content/post/2015-05-24-a-statistical-view-of-deep-learning-ii-auto-encoders-and-free-energy.md"
[54] "content/post/2015-06-03-china-r-guangzhou.md"                                                   
[55] "content/post/2015-07-28-29salon.md"                                                             
[56] "content/post/2015-11-10-20151108salon.md"                                                       
[57] "content/post/2015-12-16-8th-china-r-shanghai-summary.md"                                        
[58] "content/post/2016-01-23-20160109salon.md"                                                       
[59] "content/post/2016-05-19-sem-data-optimization-strategy.md"                                      
[60] "content/post/2016-07-25-rong360.md"                                                             
[61] "content/post/2016-09-05-9th-r-conference-xiamen.md"                                             
[62] "content/post/2016-10-10-data-mining-1-lasso.md"                                                 
[63] "content/post/2016-10-23-9th-r-conference-guangzhou.md"                                          
[64] "content/post/2016-11-09-china-r-2016wuhan.md"                                                   
[65] "content/post/2016-11-25-interview-jianxin-yin.md"                                               
[66] "content/post/2016-11-28-discussion-about-ratio-metric.md"                                       
[67] "content/post/2016-12-05-three-pictures-date-value.md"                                           
[68] "content/post/2016-12-13-cos-interview-24-shaojun-guo.md"                                        
[69] "content/post/2016-12-19-cos-interview-25-dong-li.md"                                            
[70] "content/post/2017-01-11-cos-interview-26-kouqiang.md"                                           
[71] "content/post/2017-01-13-deep-mining-users-r.md"                                                 
[72] "content/post/2017-01-16-learning-to-rank.md"                                                    
[73] "content/post/2017-03-15-air-quality-visualization.md"                                           
[74] "content/post/2017-03-18-thoughts-on-insurance.md"                                               
[75] "content/post/2017-03-29-ggimage.md"                                                             
[76] "content/post/2017-05-19-rdota2-seattle-prediction.md"         

修改分类和标签都可以使用 RStudio 插件 Update Metadata:https://bookdown.org/yihui/blogdown/rstudio-ide.html 可以从下拉框中直接选择已有分类/标签,如果需要创建新的,可以手敲,完了敲英文逗号。手敲的时候会有自动匹配,显示已有的分类/标签值。

@yihui yihui added the 主站 label Jul 18, 2017
@tomatoiscoding
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tags的事情可以提上日程。

@tomatoiscoding
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下一个是不是tag的事情了。

@yihui
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yihui commented Oct 18, 2017

你随意,我觉得标签不是那么重要。这事做不做都无所谓,以后发新文章稍微盯一盯就好了。

@yufree
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yufree commented Jan 16, 2022

根据最新例会讨论,我们打算在首页给分类做一个入口,然后限制一篇文章一个分类并对之前分类进行合并重组,使之能与当前编委栏目实现一一对应,各栏目直接对对应分类文章负责。

@LingrenKong
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回顾了一下#609的内容,刚刚把 R-语言(写了空格)的分类标签处理掉了,还有一个r包的标签,不过发现一个很蛋疼的事情,有一个一篇的分类叫“统计理论”,讲道理应该需要搞统计理论分类,不过其他理论文章翻译好像被扔进“文章推荐”了,留待例会再讨论

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