Random Sentiment Analysis with Flair Models

This function performs sentiment analysis on the given text using a randomly selected pre-trained model from Flair's repository.

Technology Stack : Flair library

Code Type : The type of code

Code Difficulty : Intermediate

                
                    
import random
import flair
import flair.models

def random_sentiment_analysis(text):
    """
    Perform sentiment analysis on the given text using a random pre-trained model from Flair.
    """
    # Randomly select a sentiment analysis model from Flair's pre-trained models
    model_name = random.choice(list(flair.models.SENTIMENT_MODELS.keys()))
    model = flair.models.SENTIMENT_MODELS[model_name]

    # Annotate the text with the selected model
    doc = flair.Document(text)
    model.predict(doc)

    # Get the sentiment of the text
    sentiment = doc.sentiment

    return sentiment