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
天才奇男子17 小时前
HAProxy高级功能全解析
linux·运维·服务器·微服务·云原生
小李独爱秋17 小时前
“bootmgr is compressed”错误:根源、笔记本与台式机差异化解决方案深度指南
运维·stm32·单片机·嵌入式硬件·文件系统·电脑故障
春日见17 小时前
vscode代码无法跳转
大数据·人工智能·深度学习·elasticsearch·搜索引擎
Dying.Light18 小时前
Linux部署问题
linux·运维·服务器
S190118 小时前
Linux的常用指令
linux·运维·服务器
萤丰信息18 小时前
AI 筑基・生态共荣:智慧园区的价值重构与未来新途
大数据·运维·人工智能·科技·智慧城市·智慧园区
小义_19 小时前
【RH134知识点问答题】第7章 管理基本存储
linux·运维·服务器
运维小欣19 小时前
Agentic AI 与 Agentic Ops 驱动,智能运维迈向新高度
运维·人工智能
_运维那些事儿20 小时前
VM环境的CI/CD
linux·运维·网络·阿里云·ci/cd·docker·云计算
Trouvaille ~21 小时前
【Linux】UDP Socket编程实战(一):Echo Server从零到一
linux·运维·服务器·网络·c++·websocket·udp