Smart Chinese Analysis插件将Lucene的Smart Chinese分析模块集成到Elasticsearch中，用于分析中文或中英文混合文本。 支持的分析器在大型训练语料库上使用基于隐马尔可夫（Markov）模型的概率知识来查找简体中文文本的最佳分词。 它使用的策略是首先将输入文本分解为句子，然后对句子进行切分以获得单词。 该插件提供了一个称为smartcn分析器的分析器，以及一个称为smartcn_tokenizer的标记器。 请注意，两者均不能使用任何参数进行配置。

要将smartcn Analysis插件安装在Elasticsearch Docker容器中，请使用以下屏幕截图中显示的命令。 然后，我们重新启动容器以使插件生效：

./bin/elasticsearch-plugin install analysis-smartcn

在Elasticsearch的安装目录运行上面的命令。显示的结果如下：

    $ ./bin/elasticsearch-plugin install analysis-smartcn

    -> Downloading analysis-smartcn from elastic

    [=================================================] 100%

    WARNING: An illegal reflective access operation has occurred

    WARNING: Illegal reflective access by org.bouncycastle.jcajce.provider.drbg.DRBG (file:/Users/liuxg/elastic/elasticsearch-7.3.0/lib/tools/plugin-cli/bcprov-jdk15on-1.61.jar) to constructor sun.security.provider.Sun()

    WARNING: Please consider reporting this to the maintainers of org.bouncycastle.jcajce.provider.drbg.DRBG

    WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations

    WARNING: All illegal access operations will be denied in a future release

    -> Installed analysis-smartcn

    (base) localhost:elasticsearch-7.3.0 liuxg$ ./bin/elasticsearch-plugin list

    analysis-icu

    analysis-ik

    analysis-smartcn

    pinyin

上面显示我们已经成功地把analysis-smartcn安装成功了。针对docker的安装，我们可以通过如下的命令来进入到docker里，再进行安装：

    $ docker exec -it es01 /bin/bash

    [root@ec4d19f59a7d elasticsearch]# ls

    LICENSE.txt  README.textile  config  jdk  logs     plugins

    NOTICE.txt   bin             data    lib  modules

    [root@ec4d19f59a7d elasticsearch]#

在这里es01是docker中的Elasticsearch实例。具体安装请参阅我的文章“Elastic：用Docker部署Elastic栈”。

注意：在我们安装好smartcn分析器后，我们必须重新启动Elasticsearch使它开始起作用。

实例

在下面，我们在Kibana中用一个实例来展示这个用法：

    POST _analyze

    {

      "text": "股市，投资，稳，赚，不，赔，必修课，如何，做，好，仓，位，管理，和，情绪，管理",

      "analyzer": "smartcn"

    }

显示结果：

    {

      "tokens" : [

        {

          "token" : "股市",

          "start_offset" : 0,

          "end_offset" : 2,

          "type" : "word",

          "position" : 0

        },

        {

          "token" : "投资",

          "start_offset" : 3,

          "end_offset" : 5,

          "type" : "word",

          "position" : 2

        },

        {

          "token" : "稳",

          "start_offset" : 6,

          "end_offset" : 7,

          "type" : "word",

          "position" : 4

        },

        {

          "token" : "赚",

          "start_offset" : 8,

          "end_offset" : 9,

          "type" : "word",

          "position" : 6

        },

        {

          "token" : "不",

          "start_offset" : 10,

          "end_offset" : 11,

          "type" : "word",

          "position" : 8

        },

        {

          "token" : "赔",

          "start_offset" : 12,

          "end_offset" : 13,

          "type" : "word",

          "position" : 10

        },

        {

          "token" : "必修课",

          "start_offset" : 14,

          "end_offset" : 17,

          "type" : "word",

          "position" : 12

        },

        {

          "token" : "如何",

          "start_offset" : 18,

          "end_offset" : 20,

          "type" : "word",

          "position" : 14

        },

        {

          "token" : "做",

          "start_offset" : 21,

          "end_offset" : 22,

          "type" : "word",

          "position" : 16

        },

        {

          "token" : "好",

          "start_offset" : 23,

          "end_offset" : 24,

          "type" : "word",

          "position" : 18

        },

        {

          "token" : "仓",

          "start_offset" : 25,

          "end_offset" : 26,

          "type" : "word",

          "position" : 20

        },

        {

          "token" : "位",

          "start_offset" : 27,

          "end_offset" : 28,

          "type" : "word",

          "position" : 22

        },

        {

          "token" : "管理",

          "start_offset" : 29,

          "end_offset" : 31,

          "type" : "word",

          "position" : 24

        },

        {

          "token" : "和",

          "start_offset" : 32,

          "end_offset" : 33,

          "type" : "word",

          "position" : 26

        },

        {

          "token" : "情绪",

          "start_offset" : 34,

          "end_offset" : 36,

          "type" : "word",

          "position" : 28

        },

        {

          "token" : "管理",

          "start_offset" : 37,

          "end_offset" : 39,

          "type" : "word",

          "position" : 30

        }

      ]

    }

Elasticsearch：Smart Chinese Analysis plugin的相关教程结束。