Question

我一直在玩谷歌的实体分析器，它看起来真的很棒！

但我一直在反对这一点 - 我试图复制下面的图片（见google's natural language api page）

这是我从请求中获取的实体数据的格式。

数据没有顺序，只有事件发生 - 所以循环遍历每个单词，并检查整数似乎真的很慢，并且因为每个单词的多个 - 它可能会有点复杂

[
  {
  "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 }
 }, 
  ...
  ]

有没有一种简单的方法可以做到这一点，我完全错过了？感谢您的任何见解/想法。

奥利

Answer 1

我相信您需要 beginOffset ：

beginOffset指示句子开始的给定文本中的（从零开始）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，它应该有效。

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

重新创建谷歌自然语言实体显示

1 个答案: