Watson NLU 的情感特征示例失败,错误代码为 400
Sample example of Sentiment feature of Watson NLU failing with error code 400
我正在尝试 https://cloud.ibm.com/apidocs/natural-language-understanding 中记录的各种功能的示例。尝试使用 Curl 时,除 Sentiment 功能外,所有功能示例均正常工作。
curl -X POST \
-H "Content-Type: application/json" \
-u "apikey:{apikey}" \
-d @parameters.json \
"{url}/v1/analyze?version=2018-11-16"
parameters.json
{
"url": "www.wsj.com/news/markets",
"features": {
"sentiment": {
"targets": [
"stocks"
]
}
}
}
Sentiment feature response:
{
"language": "en",
"error": "target(s) not found",
"code": 400
}
以下是它对我的作用。详细解释以帮助他人。
首先,您必须创建一个名为 parameters.json
的文件并粘贴以下代码
{
"url": "www.wsj.com/news/markets",
"features": {
"sentiment": {
"targets": [
"stocks"
]
}
}
}
在终端或命令提示符中指向此 JSON 文件所在的文件夹,并将 {apikey}
和 {URL}
替换为 NLU 服务值 运行下面的命令
curl -X POST \
-H "Content-Type: application/json" \
-u "apikey:{APIKEY}" \
-d @parameters.json \
"{URL}/v1/analyze?version=2018-11-16"
我的{URL}是https://gateway.watsonplatform.net/natural-language-understanding/api
然后应该看到下面的输出
{
"usage": {
"text_units": 1,
"text_characters": 1421,
"features": 1
},
"sentiment": {
"targets": [
{
"text": "stocks",
"score": -0.640222,
"mixed": "1",
"label": "negative"
}
],
"document": {
"score": -0.662399,
"label": "negative"
}
},
"retrieved_url": "https://www.wsj.com/news/markets",
"language": "en"
}
我正在尝试 https://cloud.ibm.com/apidocs/natural-language-understanding 中记录的各种功能的示例。尝试使用 Curl 时,除 Sentiment 功能外,所有功能示例均正常工作。
curl -X POST \
-H "Content-Type: application/json" \
-u "apikey:{apikey}" \
-d @parameters.json \
"{url}/v1/analyze?version=2018-11-16"
parameters.json
{
"url": "www.wsj.com/news/markets",
"features": {
"sentiment": {
"targets": [
"stocks"
]
}
}
}
Sentiment feature response:
{
"language": "en",
"error": "target(s) not found",
"code": 400
}
以下是它对我的作用。详细解释以帮助他人。
首先,您必须创建一个名为 parameters.json
的文件并粘贴以下代码
{
"url": "www.wsj.com/news/markets",
"features": {
"sentiment": {
"targets": [
"stocks"
]
}
}
}
在终端或命令提示符中指向此 JSON 文件所在的文件夹,并将 {apikey}
和 {URL}
替换为 NLU 服务值 运行下面的命令
curl -X POST \
-H "Content-Type: application/json" \
-u "apikey:{APIKEY}" \
-d @parameters.json \
"{URL}/v1/analyze?version=2018-11-16"
我的{URL}是https://gateway.watsonplatform.net/natural-language-understanding/api
然后应该看到下面的输出
{
"usage": {
"text_units": 1,
"text_characters": 1421,
"features": 1
},
"sentiment": {
"targets": [
{
"text": "stocks",
"score": -0.640222,
"mixed": "1",
"label": "negative"
}
],
"document": {
"score": -0.662399,
"label": "negative"
}
},
"retrieved_url": "https://www.wsj.com/news/markets",
"language": "en"
}