Sentiment Analysis via Huggingface Transformers Pipeline

The function uses the pipeline feature from the Huggingface Transformers library to perform sentiment analysis on the input text, returning sentiment and confidence scores.

Technology Stack : Huggingface Transformers, pipeline

Code Type : The type of code

Code Difficulty : Intermediate

                
                    
def generate_random_sentiment_analysis(text, model_name="distilbert-base-uncased"):
    from transformers import pipeline

    # Load sentiment analysis pipeline
    nlp = pipeline("sentiment-analysis", model=model_name)

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

    # Return the sentiment and confidence scores
    return result