如下，请问表格存储这个分词结果从哪里获取呢？
TEXT类型索引列默认使用SingleWord分词器，按“单个汉字”切分中文，按“单个单词”切分英文，大小写字母不敏感，且单词不会被拆分为子词。例如，字段值"Xiaomi/小米redmi note 7 pro 红米索尼4800万智能手机"会被切分为词条："xiaomi", "小", "米", "redmi", "note", "7", "pro", "红", "米", "索", "尼", "4800", "万", "智", "能", "手", "机"，并建立倒排索引。 这个分词结果从哪里获取呢？
写回答
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面对过去，不要迷离；面对未来，不必彷徨；活在今天，你只要把自己完全展示给别人看。这个分词结果可以通过Elasticsearch的API接口获取。具体来说，可以使用_analyze API对文本进行分词分析，并返回分词结果。例如：
GET /my_index/_analyze { "text": "Xiaomi/小米redmi note 7 pro 红米索尼4800万智能手机", "analyzer": "singleword" }返回的结果类似于：
```
{
"tokens": [
{
"token": "xiaomi",
"start_offset": 0,
"end_offset": 5,
"type": "word",
"position": 1
},
{
"token": "小",
"start_offset": 6,
"end_offset": 7,
"type": "word",
"position": 2
},
{
"token": "米",
"start_offset": 8,
"end_offset": 9,
"type": "word",
"position": 3
},
{
"token": "redmi",
"start_offset": 10,
"end_offset": 15,
"type": "word",
"position": 4
},
{
"token": "note",
"start_offset": 16,
"end_offset": 18,
"type": "word",
"position": 5
},
{
"token": "7",
"start_offset": 19,
"end_offset": 20,
"type": "number",
"position": 6
},
{
"token": "pro",
"start_offset": 21,
"end_offset": 23,
"type": "word",
"position": 7
},
{
"token": "红",
"start_offset": 24,
"end_offset": 25,
"type": "word",
"position": 8
},
{
"token": "米",
"start_offset": 26,
"end_offset": 27,
"type": "word",
"position": 9
},
{
"token": "索",
"start_offset": 28,
"end_offset": 29,
"type": "word",
"position": 10
},2024-01-19 14:36:32赞同 展开评论 打赏 -
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