Sentiment Analysis with Huggingface Transformers

This function uses the Huggingface Transformers library to create a sentiment analysis pipeline and then uses this pipeline to analyze the sentiment of the given text, returning the analysis result.

Technology Stack : Huggingface Transformers, sentiment analysis

Code Type : The type of code

Code Difficulty : Intermediate

                
                    
def generate_random_sentiment_analysis(text, model_name='distilbert-base-uncased-finetuned-sst-2-english'):
    from transformers import pipeline
    
    # Create a sentiment analysis pipeline
    nlp = pipeline('sentiment-analysis', model=model_name)
    
    # Analyze sentiment of the given text
    result = nlp(text)
    
    return result