Sample example of Sentiment feature of Watson NLU failing with error code 400
I was trying the sample examples of various features documented at https://cloud.ibm.com/apidocs/natural-language-understanding. All the features examples are working properly except the Sentiment feature while trying with Curl.
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
}
ibm-cloud sentiment-analysis watson-nlu
asked Jan 20 at 6:49
Nasser EbrahimNasser Ebrahim
32
add a comment |
I was trying the sample examples of various features documented at https://cloud.ibm.com/apidocs/natural-language-understanding. All the features examples are working properly except the Sentiment feature while trying with Curl.
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
}
ibm-cloud sentiment-analysis watson-nlu
asked Jan 20 at 6:49
Nasser EbrahimNasser Ebrahim
32
What if you set http/https in the URL ?
– Simon O'Doherty
Jan 20 at 8:01
add a comment |
I was trying the sample examples of various features documented at https://cloud.ibm.com/apidocs/natural-language-understanding. All the features examples are working properly except the Sentiment feature while trying with Curl.
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
}
ibm-cloud sentiment-analysis watson-nlu
asked Jan 20 at 6:49
Nasser EbrahimNasser Ebrahim
32
I was trying the sample examples of various features documented at https://cloud.ibm.com/apidocs/natural-language-understanding. All the features examples are working properly except the Sentiment feature while trying with Curl.
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
}
ibm-cloud sentiment-analysis watson-nlu
ibm-cloud sentiment-analysis watson-nlu
asked Jan 20 at 6:49
Nasser EbrahimNasser Ebrahim
32
asked Jan 20 at 6:49
Nasser EbrahimNasser Ebrahim
32
asked Jan 20 at 6:49
Nasser EbrahimNasser Ebrahim
32
asked Jan 20 at 6:49
Nasser EbrahimNasser Ebrahim
32
asked Jan 20 at 6:49
Nasser EbrahimNasser Ebrahim
32
32
What if you set http/https in the URL ?
– Simon O'Doherty
Jan 20 at 8:01
add a comment |
What if you set http/https in the URL ?
– Simon O'Doherty
Jan 20 at 8:01
What if you set http/https in the URL ?
– Simon O'Doherty
Jan 20 at 8:01
What if you set http/https in the URL ?
– Simon O'Doherty
Jan 20 at 8:01
add a comment |
1 Answer
1
active
oldest
votes
Here's how it worked for me. Explaining in an elaborate way to help others.
First of all, you have to create a file named parameters.json and paste the below code
{
"url": "www.wsj.com/news/markets",
"features": {
"sentiment": {
"targets": [
"stocks"
]
}
}
}
Pointing to the folder in which this JSON file is on a terminal or command prompt and replacing the {apikey} and {URL} with the NLU service values, run the below command
curl -X POST
-H "Content-Type: application/json"
-u "apikey:{APIKEY}"
-d @parameters.json
"{URL}/v1/analyze?version=2018-11-16"
The {URL} in my case is https://gateway.watsonplatform.net/natural-language-understanding/api
Then should see the below output
{
"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"
}
answered Jan 21 at 10:58
Vidyasagar MachupalliVidyasagar Machupalli
1,0741717
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Here's how it worked for me. Explaining in an elaborate way to help others.
First of all, you have to create a file named parameters.json and paste the below code
{
"url": "www.wsj.com/news/markets",
"features": {
"sentiment": {
"targets": [
"stocks"
]
}
}
}
Pointing to the folder in which this JSON file is on a terminal or command prompt and replacing the {apikey} and {URL} with the NLU service values, run the below command
curl -X POST
-H "Content-Type: application/json"
-u "apikey:{APIKEY}"
-d @parameters.json
"{URL}/v1/analyze?version=2018-11-16"
The {URL} in my case is https://gateway.watsonplatform.net/natural-language-understanding/api
Then should see the below output
{
"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"
}
answered Jan 21 at 10:58
Vidyasagar MachupalliVidyasagar Machupalli
1,0741717
add a comment |
Here's how it worked for me. Explaining in an elaborate way to help others.
First of all, you have to create a file named parameters.json and paste the below code
{
"url": "www.wsj.com/news/markets",
"features": {
"sentiment": {
"targets": [
"stocks"
]
}
}
}
Pointing to the folder in which this JSON file is on a terminal or command prompt and replacing the {apikey} and {URL} with the NLU service values, run the below command
curl -X POST
-H "Content-Type: application/json"
-u "apikey:{APIKEY}"
-d @parameters.json
"{URL}/v1/analyze?version=2018-11-16"
The {URL} in my case is https://gateway.watsonplatform.net/natural-language-understanding/api
Then should see the below output
{
"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"
}
answered Jan 21 at 10:58
Vidyasagar MachupalliVidyasagar Machupalli
1,0741717
add a comment |
Here's how it worked for me. Explaining in an elaborate way to help others.
First of all, you have to create a file named parameters.json and paste the below code
{
"url": "www.wsj.com/news/markets",
"features": {
"sentiment": {
"targets": [
"stocks"
]
}
}
}
Pointing to the folder in which this JSON file is on a terminal or command prompt and replacing the {apikey} and {URL} with the NLU service values, run the below command
curl -X POST
-H "Content-Type: application/json"
-u "apikey:{APIKEY}"
-d @parameters.json
"{URL}/v1/analyze?version=2018-11-16"
The {URL} in my case is https://gateway.watsonplatform.net/natural-language-understanding/api
Then should see the below output
{
"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"
}
answered Jan 21 at 10:58
Vidyasagar MachupalliVidyasagar Machupalli
1,0741717
Here's how it worked for me. Explaining in an elaborate way to help others.
First of all, you have to create a file named parameters.json and paste the below code
{
"url": "www.wsj.com/news/markets",
"features": {
"sentiment": {
"targets": [
"stocks"
]
}
}
}
Pointing to the folder in which this JSON file is on a terminal or command prompt and replacing the {apikey} and {URL} with the NLU service values, run the below command
curl -X POST
-H "Content-Type: application/json"
-u "apikey:{APIKEY}"
-d @parameters.json
"{URL}/v1/analyze?version=2018-11-16"
The {URL} in my case is https://gateway.watsonplatform.net/natural-language-understanding/api
Then should see the below output
{
"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"
}
answered Jan 21 at 10:58
Vidyasagar MachupalliVidyasagar Machupalli
1,0741717
answered Jan 21 at 10:58
Vidyasagar MachupalliVidyasagar Machupalli
1,0741717
answered Jan 21 at 10:58
Vidyasagar MachupalliVidyasagar Machupalli
1,0741717
answered Jan 21 at 10:58
Vidyasagar MachupalliVidyasagar Machupalli
1,0741717
1,0741717
add a comment |
add a comment |
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What if you set http/https in the URL ?
– Simon O'Doherty
Jan 20 at 8:01