使用PostMan测试IK分词

最新推荐文章于 2024-08-08 16:28:00 发布

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最新推荐文章于 2024-08-08 16:28:00 发布

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本文档介绍了如何使用PostMan工具来测试Elasticsearch中的IK分词器。首先，需要安装Elasticsearch和PostMan，接着安装IK分词插件。在指定目录下创建analysis-ik目录。然后启动ES服务和PostMan。在PostMan中配置请求头和请求体，设置分词模式为ik_max_word或ik_smart，演示了ik_smart的分词效果。最后展示请求返回的分词结果。

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1、安装ES、PostMan

2、安装IK分词器，目录如下：注意新建目录：analysis-ik

3、启动ES

4、启动PostMan

5、配置请求头，请求体，请求时有两种分词效果：一种是ik_max_word（最大分词）和ik_smart（最小分词），下面是最小分词

5、请求结果如下：

{
    "tokens": [
        {
            "token": "2020年",
            "start_offset": 0,
            "end_offset": 5,
            "type": "TYPE_CQUAN",
            "position": 0
        },
        {
            "token": "的",
            "start_offset": 5,
            "end_offset": 6,
            "type": "CN_CHAR",
            "position": 1
        },
        {
            "token": "四月份",
            "start_offset": 6,
            "end_offset": 9,
            "type": "CN_WORD",
            "position": 2
        },
        {
            "token": "中国",
            "start_offset": 9,
            "end_offset": 11,
            "type": "CN_WORD",
            "position": 3
        },
        {
            "token": "终于",
            "start_offset": 11,
            "end_offset": 13,
            "type": "CN_WORD",
            "position": 4
        },
        {
            "token": "举",
            "start_offset": 13,
            "end_offset": 14,
            "type": "CN_CHAR",
            "position": 5
        },
        {
            "token": "全国",
            "start_offset": 14,
            "end_offset": 16,
            "type": "CN_WORD",
            "position": 6
        },
        {
            "token": "之力",
            "start_offset": 16,
            "end_offset": 18,
            "type": "CN_WORD",
            "position": 7
        },
        {
            "token": "战",
            "start_offset": 18,
            "end_offset": 19,
            "type": "CN_CHAR",
            "position": 8
        },
        {
            "token": "胜了",
            "start_offset": 19,
            "end_offset": 21,
            "type": "CN_WORD",
            "position": 9
        },
        {
            "token": "新",
            "start_offset": 21,
            "end_offset": 22,
            "type": "CN_CHAR",
            "position": 10
        },
        {
            "token": "冠",
            "start_offset": 22,
            "end_offset": 23,
            "type": "CN_CHAR",
            "position": 11
        },
        {
            "token": "病毒",
            "start_offset": 23,
            "end_offset": 25,
            "type": "CN_WORD",
            "position": 12
        }
    ]
}