<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[lunseqing5357的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/lunseqing5357</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; lunseqing5357]]></copyright><item><title><![CDATA[通俗、有逻辑的写一篇说下Xgboost的原理，供讨论参考]]></title><link>https://blog.youkuaiyun.com/lunseqing5357/article/details/83748251</link><guid>https://blog.youkuaiyun.com/lunseqing5357/article/details/83748251</guid><author>lunseqing5357</author><pubDate>Mon, 05 Nov 2018 13:46:10 +0800</pubDate><description><![CDATA[原文：https://blog.youkuaiyun.com/github_38414650/article/details/76061893 

 


 

 

 ]]></description><category></category></item><item><title><![CDATA[运用python将json文件保存成csv文件]]></title><link>https://blog.youkuaiyun.com/lunseqing5357/article/details/83546483</link><guid>https://blog.youkuaiyun.com/lunseqing5357/article/details/83546483</guid><author>lunseqing5357</author><pubDate>Tue, 30 Oct 2018 18:23:01 +0800</pubDate><description><![CDATA[工具：  spyder ，codecs  ，pandas

# -*- coding: utf-8 -*-
&quot;&quot;&quot;
Spyder Editor

This is a temporary script file.
&quot;&quot;&quot;
#-*-coding:utf-8-*-
import json
import codecs
import pandas as pd
def trans(path):
    jso...]]></description><category></category></item><item><title><![CDATA[NLP 分词相关知识]]></title><link>https://blog.youkuaiyun.com/lunseqing5357/article/details/82841965</link><guid>https://blog.youkuaiyun.com/lunseqing5357/article/details/82841965</guid><author>lunseqing5357</author><pubDate>Tue, 25 Sep 2018 17:09:47 +0800</pubDate><description><![CDATA[1.2 中文分词方法介绍

 

现有的分词方法可分为三大类：基于字符串匹配的分词方法、基于理解的分词方法和基于统计的分词方法。

 

1.2.1 基于字符串匹配的分词方法

 

基于字符串匹配的分词方法又称机械分词方法，它是按照一定的策略将待分析的汉字串与一个“充分大的”机器词典中的词条进行配，若在词典中找到某个字符串，则匹配成功（识别出一个词）。

 

按照扫描方向的不同，字符串匹配分词...]]></description><category></category></item><item><title><![CDATA[运用java 调用tensorflow中的inception v3模型]]></title><link>https://blog.youkuaiyun.com/lunseqing5357/article/details/82841519</link><guid>https://blog.youkuaiyun.com/lunseqing5357/article/details/82841519</guid><author>lunseqing5357</author><pubDate>Tue, 25 Sep 2018 16:49:11 +0800</pubDate><description><![CDATA[首先使用maven添加依赖项：


&amp;lt;?xml version=&quot;1.0&quot; encoding=&quot;UTF-8&quot;?&amp;gt;
&amp;lt;project xmlns=&quot;http://maven.apache.org/POM/4.0.0&quot;
         xmlns:xsi=&quot;http://www.w3.org/2001/XMLSchema-instance&quot;
         xsi:schemaL...]]></description><category></category></item><item><title><![CDATA[利用java编写thrift来对inception模型进行访问与部署]]></title><link>https://blog.youkuaiyun.com/lunseqing5357/article/details/82841341</link><guid>https://blog.youkuaiyun.com/lunseqing5357/article/details/82841341</guid><author>lunseqing5357</author><pubDate>Tue, 25 Sep 2018 16:42:13 +0800</pubDate><description><![CDATA[thrift就是一个跨语言调用的软件框架。

首先运用thrift生成一个客户端与服务端文件，

 客户端：就是设置ip地址等信息，并调用服务端信息。


import cn.thrift.Tensorflow_Service;
import org.apache.thrift.TException;
import org.apache.thrift.protocol.TBinaryProtoco...]]></description><category></category></item><item><title><![CDATA[K-nn与K-means的区别]]></title><link>https://blog.youkuaiyun.com/lunseqing5357/article/details/82835428</link><guid>https://blog.youkuaiyun.com/lunseqing5357/article/details/82835428</guid><author>lunseqing5357</author><pubDate>Tue, 25 Sep 2018 10:22:20 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[利用sklearn 朴素贝叶斯进行评论短语的分类]]></title><link>https://blog.youkuaiyun.com/lunseqing5357/article/details/80312879</link><guid>https://blog.youkuaiyun.com/lunseqing5357/article/details/80312879</guid><author>lunseqing5357</author><pubDate>Mon, 14 May 2018 17:55:44 +0800</pubDate><description><![CDATA[功能：对评论短语，比如一个文章下的评论短语进行分类通过或者删除，也就是是垃圾 、不是垃圾。工具：Spyder，jieba分词，numpy，joblib，sklearn程序：# -*- coding: utf-8 -*-&quot;&quot;&quot;Created on Mon May 14 10:12:38 2018@author: Administrator&quot;&quot;&quot;import codecsimport jiebafro...]]></description><category></category></item><item><title><![CDATA[利用java实现对文本的去除停用词以及分词处理]]></title><link>https://blog.youkuaiyun.com/lunseqing5357/article/details/79917658</link><guid>https://blog.youkuaiyun.com/lunseqing5357/article/details/79917658</guid><author>lunseqing5357</author><pubDate>Thu, 12 Apr 2018 18:07:32 +0800</pubDate><description><![CDATA[功能：对txt文档进行分词处理，并去除停用词。工具：IDEA，java，hankcs.hanlp.seg.common.Term等库。程序：import java.util.*;
import java.io.*;


import java.lang.String;
import java.lang.StringBuilder;
import com.hankcs.hanlp.seg.commo...]]></description><category></category></item><item><title><![CDATA[利用python及jieba分词和gensim模块计算文本相似度]]></title><link>https://blog.youkuaiyun.com/lunseqing5357/article/details/79917119</link><guid>https://blog.youkuaiyun.com/lunseqing5357/article/details/79917119</guid><author>lunseqing5357</author><pubDate>Thu, 12 Apr 2018 17:41:21 +0800</pubDate><description><![CDATA[由于工作需要，接触自然语言处理，写一些笔记，请大家指教。功能：实现把文本库中和输入文本相似的文本输出。工具：Spyder，python3.6，codecs，jieba，gensim等模块。（需要自己安装相关模块，我使用的是pip安装）程序：# -*- coding: utf-8 -*-&quot;&quot;&quot;Spyder EditorThis is a temporary script file.&quot;&quot;&quot;import...]]></description><category></category></item></channel></rss>