Sentiment Analysis

POST https://api.lelapa.ai/v1/sentiment_analysis/process.

The Sentiment endpoint analyses the provided text and returns the emotional tone as positive, negative, or neutral. Each request can handle up to 2,000 tokens, with a recommended limit of 180 tokens for optimal performance.

BODY PARAMS

encoded_text string required.
This parameter represents the text input that will be analysed for named entities. It is required for the endpoint to function properly. The encoded_text should be provided as a string and contains the text to be processed by the Sentiment model.

HEADERS

X-CLIENT-TOKEN string required.
Represents the authentication token required for accessing the API. This header ensures that only authorized clients can make requests to the endpoint.

EXAMPLES

Code
 
pdm add vulavula

Code
 
from vulavula import VulavulaClient
client = VulavulaClient("<INSERT_TOKEN>")

sentiment_result = client.get_sentiments({'encoded_text': 'am happy. i am sad. hello!'})
print(sentiment_result)

RESPONSES

Code
 
{
  "Id": "a9529bd6-35c9-406b-ae01-f7c9cd95cf54",
  "Sentiments": [
    {
      "text": "am happy",
      "sentiment": [
        {
          "label": "positive",
          "score": 0.9991829991340637
        }
      ]
    },
    {
      "text": " i am sad",
      "sentiment": [
        {
          "label": "negative",
          "score": 0.960746169090271
        }
      ]
    },
    {
      "text": " hello",
      "sentiment": [
        {
          "label": "neutral",
          "score": 0.8527688384056091
        }
      ]
    }
  ]
}