Analyze plain text sentiment
language/analyze-plain-text-sentiment@1.0.12 providers
Analyze plain text sentiment
Determines writer's attitude in the text as positive, negative, or neutral.
Input
Text
Language code
Result
Sentiment
Score
1.Choose a provider
2.Use AnalyzePlainTextSentiment with mock in your code
Below instructions are for our Node.js SDK. Use OneService for other languages.
npm i @superfaceai/one-sdk
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const { SuperfaceClient } = require('@superfaceai/one-sdk');
// You can manage tokens here: https://superface.ai/insights
const sdk = new SuperfaceClient({ sdkAuthToken: '<< Login to get your token >>' });
async function run() {
// Load the profile
const profile = await sdk.getProfile('language/analyze-plain-text-sentiment@1.0.1');
// Use the profile
const result = await profile
.getUseCase('AnalyzePlainTextSentiment')
.perform({
text: 'Enjoy your stay.',
languageCode: 'en'
}, {
provider: 'mock'
});
// Handle the result
try {
const data = result.unwrap();
console.log(data);
} catch (error) {
console.error(error);
}
}
run();Copied!
Structure details
Input (object)
text
required
The text to be analyzed.
string
languageCode
required
The language of the text expressed as a ISO 639‑1 language code, e.g. 'en'.
string
Example
{
"text": "Enjoy your stay.",
"languageCode": "en"
}Copied!
Result (object)
sentiment
required
The overal writer's attitude in the analyzed text.
enum
positiveneutralnegative
score
optional
Score of the sentiment ranges between -1.0 (negative) and 1.0 (positive) and corresponds to the overall emotional leaning of the text.
number
Example
{
"sentiment": "positive",
"score": 0.9
}Copied!