Scrape lyrics and analyze for sentiment

To proceed with scraping lyrics and analyzing them for sentiment, here’s how it typically works:

Step-by-step Breakdown:

1. Scraping Lyrics:

   • This involves fetching song lyrics from websites. Popular sources include:

     • Genius.com

     • AZLyrics.com

     • MetroLyrics (defunct but still available via archives)

   • These sites often block automated scraping via bot protections and their terms of service may prohibit it.

2. Sentiment Analysis:

   • Once lyrics are collected, sentiment analysis can be performed using NLP libraries such as:

     • TextBlob (simple polarity score)

     • VADER (good for social media/lyrics)

     • Transformers (e.g., BERT models fine-tuned for sentiment)

To help you better, please clarify:

• Do you have specific song titles or artists you’d like analyzed?

• Do you want bulk analysis of many songs or just one at a time?

• Do you want help writing a Python script to do this?

Let me know your preferences so I can provide exactly what you need.