重新创建google自然语言实体显示

Question

我一直在试用google的实体分析器，它看起来真的很不错！

但我已经为此头疼了一段时间了--我试图复制下面的图像(在google's natural language api page上看到)。

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​

这是我从请求中返回的实体数据的格式。

数据没有顺序，只有出现的数据-所以循环每个单词，并检查每个单词看起来非常慢，而且由于每个单词都有多个单词，所以可能会变得有点复杂。

[
  {
  "mentions": [
    {
      "text": { "content": "group", "beginOffset": -1 },
      "type": "COMMON",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "group", "beginOffset": -1 },
      "type": "COMMON",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "group", "beginOffset": -1 },
      "type": "COMMON",
      "sentiment": { "magnitude": 0.30000001192092896, "score":0.30000001192092896 }
    },
    {
      "text": { "content": "group", "beginOffset": -1 },
      "type": "COMMON",
      "sentiment": { "magnitude": 0.30000001192092896, "score":-0.30000001192092896 }
    },
    {
      "text": { "content": "group", "beginOffset": -1 },
      "type": "COMMON",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "group", "beginOffset": -1 },
      "type": "COMMON",
      "sentiment": { "magnitude": 0, "score": 0 }
    } 
  ],
  "metadata": {},
  "name": "group",
  "type": "ORGANIZATION",
  "salience": 0.34768930077552795,
  "sentiment": { "magnitude": 1.100000023841858, "score": 0 }
},
{
  "mentions": [
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0.10000000149011612, "score":-0.10000000149011612 }
    },
    {
      "text": { "content": "Commonwealth", "beginOffset": -1 },
      "type": "PROPER",
      "sentiment": { "magnitude": 0, "score": 0 }
    },
  {
    "text": { "content": "Commonwealth", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0.20000000298023224, "score": -0.20000000298023224 }
  },
  {
    "text": { "content": "Commonwealth", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0, "score": 0 }
  },
  {
    "text": { "content": "Commonwealth", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0, "score": 0 }
  },
  {
    "text": { "content": "Commonwealth", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0, "score": 0 }
  },
  {
    "text": { "content": "Commonwealth", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0, "score": 0 }
  },
  {
    "text": { "content": "Commonwealth", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0, "score": 0 }
  },
  {
    "text": { "content": "Commonwealth", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0, "score": 0 }
  },
  {
    "text": { "content": "Commonwealth", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0, "score": 0 }
  },
  {
    "text": { "content": "Commonwealth of Nations", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0, "score": 0 }
  },
  {
    "text": { "content": "Commonwealth\r\nOne", "beginOffset": -1 },
    "type": "PROPER",
    "sentiment": { "magnitude": 0, "score": 0 }
  }
],
"metadata": {
  "mid": "/m/0j7v_",
  "wikipedia_url": "https://en.wikipedia.org/wiki/Commonwealth_of_Nations"
},
"name": "Commonwealth of Nations",
"type": "LOCATION",
"salience": 0.28001657128334045,
"sentiment": { "magnitude": 1.7000000476837158, "score": 0 }
 }, 
  ...
  ]

有没有一种我完全忽略的简单方法来做这件事？感谢你的见解/想法。

奥利

Answer 1

我相信就是你所需要的：

beginOffset，表示给定文本中句子开头的(从零开始的)字符偏移量。请注意，此偏移量是使用传递的encodingType计算的。

如果您在请求中指定EncodingType，它应该可以工作。

如果未指定EncodingType，则编码相关信息(如beginOffset)将设置为-1。