安装IK分词器;IK分词器配置扩展词库:配置扩展字典-扩展词,配置扩展停止词字典-停用词

安装IK分词器;IK分词器配置扩展词库:配置扩展字典-扩展词,配置扩展停止词字典-停用词

本文 ElasticSearch 版本为:7.17.9 ,为了对应 spring-boot-starter-parent2.7.9 版本

安装IK分词器

官网资源IK Analyzer GitHub 页面

IK分词器 下载地址:https://release.infinilabs.com/analysis-ik/stable/,下载与 ES 对应的 IK分词器 版本

然后解压下载的 zip 文件,不要直接解压到本文件夹下,里面直接就是所有文件,选择解压到 XXX 文件夹即可。

解压好的文件放在 ElasticSearch 目录下的 plugins 文件夹下重启 ES 即可使用(Windows和Linux同理)

IK分词配置扩展词库

IK分词器 不是 ElasticSearch 自带的分词器,需要用户自己全装。一般是安装在 ElasticSearchplugins 文件夹中的,要扩展 IK分词器 的词库,只需要修改 IK分词器 目录中的 config 目录中的 IKAnalyzer.cfg.xml 文件:

默认配置文件如下:

xml 复制代码
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
<properties>
	<comment>IK Analyzer 扩展配置</comment>
	<!--用户可以在这里配置自己的扩展字典 -->
	<entry key="ext_dict"></entry>
	 <!--用户可以在这里配置自己的扩展停止词字典-->
	<entry key="ext_stopwords"></entry>
	<!--用户可以在这里配置远程扩展字典 -->
	<!-- <entry key="remote_ext_dict">words_location</entry> -->
	<!--用户可以在这里配置远程扩展停止词字典-->
	<!-- <entry key="remote_ext_stopwords">words_location</entry> -->
</properties>

需要我们指定自己的字典文件名去进行扩展,如:

xml 复制代码
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
<properties>
	<comment>IK Analyzer 扩展配置</comment>
	<!--用户可以在这里配置自己的扩展字典 -->
	<entry key="ext_dict">dict.dic</entry>
	 <!--用户可以在这里配置自己的扩展停止词字典-->
	<entry key="ext_stopwords">stopwords.dic</entry>
	<!--用户可以在这里配置远程扩展字典 -->
	<!-- <entry key="remote_ext_dict">words_location</entry> -->
	<!--用户可以在这里配置远程扩展停止词字典-->
	<!-- <entry key="remote_ext_stopwords">words_location</entry> -->
</properties>

修改配置之后,这两个配置的文件也要去对应的新建,与 IKAnalyzer.cfg.xml 文件平级即可

配置好之后,重启 ElasticSearch 即可生效。

配置扩展字典-扩展词

新增 dict.dic 文件,配置如下:

bash 复制代码
搬砖
画大饼
已读不回
舔狗
摆烂

配置停止词字典-停用词

在已有的 stopword.dic 文件配置停用词,配置之后,这些词不会被解析出来:

测试

配置字典前

使用 ElasticSearch 的可视化界面 Kibana 的调试工具 Dev Tools 调用解析接口测试:

bash 复制代码
# `IK Analyzer` 扩展字典。
POST /_analyze
{
  "analyzer": "ik_smart",
  "text": "小明是一个Java程序员,白天摸鱼学习ElasticSearch,晚上加班到九点,搬砖完之后,去找他的女神画大饼,女神却已读不回,小明认清自己是个舔狗,直接摆烂,吸食海洛因"
}

解析结果:

bash 复制代码
#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{
  "tokens" : [
    {
      "token" : "小明",
      "start_offset" : 0,
      "end_offset" : 2,
      "type" : "CN_WORD",
      "position" : 0
    },
    {
      "token" : "是",
      "start_offset" : 2,
      "end_offset" : 3,
      "type" : "CN_CHAR",
      "position" : 1
    },
    {
      "token" : "一个",
      "start_offset" : 3,
      "end_offset" : 5,
      "type" : "CN_WORD",
      "position" : 2
    },
    {
      "token" : "java",
      "start_offset" : 5,
      "end_offset" : 9,
      "type" : "ENGLISH",
      "position" : 3
    },
    {
      "token" : "程序员",
      "start_offset" : 9,
      "end_offset" : 12,
      "type" : "CN_WORD",
      "position" : 4
    },
    {
      "token" : "白天",
      "start_offset" : 13,
      "end_offset" : 15,
      "type" : "CN_WORD",
      "position" : 5
    },
    {
      "token" : "摸鱼",
      "start_offset" : 15,
      "end_offset" : 17,
      "type" : "CN_WORD",
      "position" : 6
    },
    {
      "token" : "学习",
      "start_offset" : 17,
      "end_offset" : 19,
      "type" : "CN_WORD",
      "position" : 7
    },
    {
      "token" : "elasticsearch",
      "start_offset" : 19,
      "end_offset" : 32,
      "type" : "ENGLISH",
      "position" : 8
    },
    {
      "token" : "晚上",
      "start_offset" : 33,
      "end_offset" : 35,
      "type" : "CN_WORD",
      "position" : 9
    },
    {
      "token" : "加班",
      "start_offset" : 35,
      "end_offset" : 37,
      "type" : "CN_WORD",
      "position" : 10
    },
    {
      "token" : "到",
      "start_offset" : 37,
      "end_offset" : 38,
      "type" : "CN_CHAR",
      "position" : 11
    },
    {
      "token" : "九点",
      "start_offset" : 38,
      "end_offset" : 40,
      "type" : "TYPE_CQUAN",
      "position" : 12
    },
    {
      "token" : "搬",
      "start_offset" : 41,
      "end_offset" : 42,
      "type" : "CN_CHAR",
      "position" : 13
    },
    {
      "token" : "砖",
      "start_offset" : 42,
      "end_offset" : 43,
      "type" : "CN_CHAR",
      "position" : 14
    },
    {
      "token" : "完",
      "start_offset" : 43,
      "end_offset" : 44,
      "type" : "CN_CHAR",
      "position" : 15
    },
    {
      "token" : "之后",
      "start_offset" : 44,
      "end_offset" : 46,
      "type" : "CN_WORD",
      "position" : 16
    },
    {
      "token" : "去",
      "start_offset" : 47,
      "end_offset" : 48,
      "type" : "CN_CHAR",
      "position" : 17
    },
    {
      "token" : "找他",
      "start_offset" : 48,
      "end_offset" : 50,
      "type" : "CN_WORD",
      "position" : 18
    },
    {
      "token" : "的",
      "start_offset" : 50,
      "end_offset" : 51,
      "type" : "CN_CHAR",
      "position" : 19
    },
    {
      "token" : "女神",
      "start_offset" : 51,
      "end_offset" : 53,
      "type" : "CN_WORD",
      "position" : 20
    },
    {
      "token" : "画",
      "start_offset" : 53,
      "end_offset" : 54,
      "type" : "CN_CHAR",
      "position" : 21
    },
    {
      "token" : "大饼",
      "start_offset" : 54,
      "end_offset" : 56,
      "type" : "CN_WORD",
      "position" : 22
    },
    {
      "token" : "女神",
      "start_offset" : 57,
      "end_offset" : 59,
      "type" : "CN_WORD",
      "position" : 23
    },
    {
      "token" : "却已",
      "start_offset" : 59,
      "end_offset" : 61,
      "type" : "CN_WORD",
      "position" : 24
    },
    {
      "token" : "读",
      "start_offset" : 61,
      "end_offset" : 62,
      "type" : "CN_CHAR",
      "position" : 25
    },
    {
      "token" : "不回",
      "start_offset" : 62,
      "end_offset" : 64,
      "type" : "CN_WORD",
      "position" : 26
    },
    {
      "token" : "小明",
      "start_offset" : 65,
      "end_offset" : 67,
      "type" : "CN_WORD",
      "position" : 27
    },
    {
      "token" : "认清",
      "start_offset" : 67,
      "end_offset" : 69,
      "type" : "CN_WORD",
      "position" : 28
    },
    {
      "token" : "自己",
      "start_offset" : 69,
      "end_offset" : 71,
      "type" : "CN_WORD",
      "position" : 29
    },
    {
      "token" : "是",
      "start_offset" : 71,
      "end_offset" : 72,
      "type" : "CN_CHAR",
      "position" : 30
    },
    {
      "token" : "个",
      "start_offset" : 72,
      "end_offset" : 73,
      "type" : "CN_CHAR",
      "position" : 31
    },
    {
      "token" : "舔",
      "start_offset" : 73,
      "end_offset" : 74,
      "type" : "CN_CHAR",
      "position" : 32
    },
    {
      "token" : "狗",
      "start_offset" : 74,
      "end_offset" : 75,
      "type" : "CN_CHAR",
      "position" : 33
    },
    {
      "token" : "直接",
      "start_offset" : 76,
      "end_offset" : 78,
      "type" : "CN_WORD",
      "position" : 34
    },
    {
      "token" : "摆",
      "start_offset" : 78,
      "end_offset" : 79,
      "type" : "CN_CHAR",
      "position" : 35
    },
    {
      "token" : "烂",
      "start_offset" : 79,
      "end_offset" : 80,
      "type" : "CN_CHAR",
      "position" : 36
    },
    {
      "token" : "吸食",
      "start_offset" : 81,
      "end_offset" : 83,
      "type" : "CN_WORD",
      "position" : 37
    },
    {
      "token" : "海洛因",
      "start_offset" : 83,
      "end_offset" : 86,
      "type" : "CN_WORD",
      "position" : 38
    }
  ]
}

配置字典后

使用 ElasticSearch 的可视化界面 Kibana 的调试工具 Dev Tools 调用解析接口测试:

bash 复制代码
# `IK Analyzer` 扩展字典。
POST /_analyze
{
  "analyzer": "ik_smart",
  "text": "小明是一个Java程序员,白天摸鱼学习ElasticSearch,晚上加班到九点,搬砖完之后,去找他的女神画大饼,女神却已读不回,小明认清自己是个舔狗,直接摆烂,吸食海洛因"
}

解析结果:

bash 复制代码
#! Elasticsearch built-in security features are not enabled. Without authentication, your cluster could be accessible to anyone. See https://www.elastic.co/guide/en/elasticsearch/reference/7.17/security-minimal-setup.html to enable security.
{
  "tokens" : [
    {
      "token" : "小明",
      "start_offset" : 0,
      "end_offset" : 2,
      "type" : "CN_WORD",
      "position" : 0
    },
    {
      "token" : "是",
      "start_offset" : 2,
      "end_offset" : 3,
      "type" : "CN_CHAR",
      "position" : 1
    },
    {
      "token" : "一个",
      "start_offset" : 3,
      "end_offset" : 5,
      "type" : "CN_WORD",
      "position" : 2
    },
    {
      "token" : "java",
      "start_offset" : 5,
      "end_offset" : 9,
      "type" : "ENGLISH",
      "position" : 3
    },
    {
      "token" : "程序员",
      "start_offset" : 9,
      "end_offset" : 12,
      "type" : "CN_WORD",
      "position" : 4
    },
    {
      "token" : "白天",
      "start_offset" : 13,
      "end_offset" : 15,
      "type" : "CN_WORD",
      "position" : 5
    },
    {
      "token" : "摸鱼",
      "start_offset" : 15,
      "end_offset" : 17,
      "type" : "CN_WORD",
      "position" : 6
    },
    {
      "token" : "学习",
      "start_offset" : 17,
      "end_offset" : 19,
      "type" : "CN_WORD",
      "position" : 7
    },
    {
      "token" : "elasticsearch",
      "start_offset" : 19,
      "end_offset" : 32,
      "type" : "ENGLISH",
      "position" : 8
    },
    {
      "token" : "晚上",
      "start_offset" : 33,
      "end_offset" : 35,
      "type" : "CN_WORD",
      "position" : 9
    },
    {
      "token" : "加班",
      "start_offset" : 35,
      "end_offset" : 37,
      "type" : "CN_WORD",
      "position" : 10
    },
    {
      "token" : "到",
      "start_offset" : 37,
      "end_offset" : 38,
      "type" : "CN_CHAR",
      "position" : 11
    },
    {
      "token" : "九点",
      "start_offset" : 38,
      "end_offset" : 40,
      "type" : "TYPE_CQUAN",
      "position" : 12
    },
    {
      "token" : "搬砖",
      "start_offset" : 41,
      "end_offset" : 43,
      "type" : "CN_WORD",
      "position" : 13
    },
    {
      "token" : "完",
      "start_offset" : 43,
      "end_offset" : 44,
      "type" : "CN_CHAR",
      "position" : 14
    },
    {
      "token" : "之后",
      "start_offset" : 44,
      "end_offset" : 46,
      "type" : "CN_WORD",
      "position" : 15
    },
    {
      "token" : "去",
      "start_offset" : 47,
      "end_offset" : 48,
      "type" : "CN_CHAR",
      "position" : 16
    },
    {
      "token" : "找他",
      "start_offset" : 48,
      "end_offset" : 50,
      "type" : "CN_WORD",
      "position" : 17
    },
    {
      "token" : "女神",
      "start_offset" : 51,
      "end_offset" : 53,
      "type" : "CN_WORD",
      "position" : 18
    },
    {
      "token" : "画大饼",
      "start_offset" : 53,
      "end_offset" : 56,
      "type" : "CN_WORD",
      "position" : 19
    },
    {
      "token" : "女神",
      "start_offset" : 57,
      "end_offset" : 59,
      "type" : "CN_WORD",
      "position" : 20
    },
    {
      "token" : "却",
      "start_offset" : 59,
      "end_offset" : 60,
      "type" : "CN_CHAR",
      "position" : 21
    },
    {
      "token" : "已读不回",
      "start_offset" : 60,
      "end_offset" : 64,
      "type" : "CN_WORD",
      "position" : 22
    },
    {
      "token" : "小明",
      "start_offset" : 65,
      "end_offset" : 67,
      "type" : "CN_WORD",
      "position" : 23
    },
    {
      "token" : "认清",
      "start_offset" : 67,
      "end_offset" : 69,
      "type" : "CN_WORD",
      "position" : 24
    },
    {
      "token" : "自己",
      "start_offset" : 69,
      "end_offset" : 71,
      "type" : "CN_WORD",
      "position" : 25
    },
    {
      "token" : "是",
      "start_offset" : 71,
      "end_offset" : 72,
      "type" : "CN_CHAR",
      "position" : 26
    },
    {
      "token" : "个",
      "start_offset" : 72,
      "end_offset" : 73,
      "type" : "CN_CHAR",
      "position" : 27
    },
    {
      "token" : "舔狗",
      "start_offset" : 73,
      "end_offset" : 75,
      "type" : "CN_WORD",
      "position" : 28
    },
    {
      "token" : "直接",
      "start_offset" : 76,
      "end_offset" : 78,
      "type" : "CN_WORD",
      "position" : 29
    },
    {
      "token" : "摆烂",
      "start_offset" : 78,
      "end_offset" : 80,
      "type" : "CN_WORD",
      "position" : 30
    },
    {
      "token" : "吸食",
      "start_offset" : 81,
      "end_offset" : 83,
      "type" : "CN_WORD",
      "position" : 31
    }
  ]
}

可以看到网络热词 "搬砖"、"画大饼"、"已读不回"、"舔狗"、"摆烂" 均可以正确识别,敏感词 "海洛因" 没有解析。

相关推荐
Esaka_Forever30 分钟前
Zapier 云端无代码 AI 工作流编排自动化平台
运维·自动化
c2385643 分钟前
git常见错误和ssh验证推送
运维·git·ssh
哈德森hh1 小时前
从手动操作到自动化管理:Twitter多账号运营效率优化实践
运维·自动化·twitter
IT WorryFree1 小时前
ESXi 全维度监控方式完整分类(按使用场景排序)
运维·服务器·网络
醉颜凉1 小时前
Elasticsearch性能优化:JVM GC调优全攻略,彻底解决集群卡顿、吞吐量下降问题
jvm·elasticsearch·性能优化
专注搞钱1 小时前
FAB设备OEE自动化分析工具:月度报表从2天缩短到30秒
运维·自动化
加加and减减1 小时前
Docker真实安装mysql8教程并优化配置
运维·mysql·docker·容器
m0_719084112 小时前
es我的笔记
大数据·笔记·elasticsearch
十六年开源服务商2 小时前
2026社交媒体营销×WordPress运维:实战避坑指南
运维·媒体
江南风月2 小时前
Hermes Agent 接入WGCLOUD实战:打造团队 AI 智能运维解决方案
运维·zabbix·运维开发·prometheus