Sentiment Analysis with Huggingface Transformers

This function uses the sentiment-analysis pipeline from the Huggingface Transformers library to analyze the sentiment of the given text and returns the sentiment label and confidence score.

Technology Stack : Huggingface Transformers

Code Type : Function

Code Difficulty : Intermediate

                
                    
def generate_random_sentiment_analysis(text):
    from transformers import pipeline

    # Load a pre-trained sentiment analysis pipeline
    nlp = pipeline("sentiment-analysis")

    # Perform sentiment analysis on the given text
    result = nlp(text)

    # Return the sentiment and confidence score
    return result[0]['label'], result[0]['score']