I am using natural language understanding api. text I am using 'hmmmm nawa ohh wen am I gona win ds tin' and it is giving error
WatsonException: Error: unsupported text language, Code: 400
My code is :
response = natural_language_understanding.analyze(
text='hmmmm nawa ohh wen am I gona win ds tin',
features=[features.Sentiment(), features.Keywords(), features.Emotion(), features.Categories()])
how to pass these kind of text to NLU api. need help.
It's failing because before it attempts to determine features, it will try and guess what the language is. Setting the language will prevent this.
For example:
question = 'hmmmm nawa ohh wen am I gona win ds tin'
f = [
features.Categories(),
features.Concepts(),
features.Emotion(),
features.Entities(),
features.Relations(),
features.SemanticRoles(),
features.Sentiment()
]
r = nlu.analyze(text=question, features=f, language='en')
print(json.dumps(r, indent=2))
Outputs this:
{
"sentiment": {
"document": {
"score": 0.0,
"label": "neutral"
}
},
"semantic_roles": [
{
"subject": {
"text": "I"
},
"sentence": "hmmmm nawa ohh wen am I gona win ds tin",
"object": {
"text": "ds tin"
},
"action": {
"verb": {
"text": "win",
"tense": "present"
},
"text": "win",
"normalized": "win"
}
}
],
"relations": [],
"language": "en",
"entities": [],
"emotion": {
"document": {
"emotion": {
"sadness": 0.193275,
"joy": 0.309168,
"fear": 0.167981,
"disgust": 0.06316,
"anger": 0.130959
}
}
},
"concepts": [],
"categories": [
{
"score": 0.899547,
"label": "/art and entertainment"
},
{
"score": 0.365657,
"label": "/hobbies and interests/reading"
},
{
"score": 0.189432,
"label": "/art and entertainment/movies and tv/movies"
}
]
}
It's not proper English though, so I wouldn't expect the results to be good.
You can see the supported language features here:
