How can I implement extractive summarization in my project?

How can I implement extractive summarization in my project?

To implement extractive summarization, you can use techniques like TextRank or LSA. Do you have a specific dataset in mind?

Yes, I have a collection of news articles. What libraries can I use?

You can use libraries like NLTK, Gensim, or Hugging Face's Transformers. Would you like code examples?

Yes, please provide a simple code example using Gensim.

Sure! Here's a basic example:

from gensim.summarization import summarize

text = "Your long text here..."
summary = summarize(text, ratio=0.2)
print(summary)

This will give you a summary of 20% of the original text.

That looks great! How do I evaluate the quality of the summary?

You can evaluate the summary using metrics like ROUGE or BLEU scores, or by human judgment. Would you like to know more about these metrics?