Skip to main content
100%

summarize text

✓ Published0🌍 Public
NN0taN3rd
Last edited Jun 24, 2017
Created on Jun 24, 2017

This example demonstrates automatic text summarization using the Sumy library in Python, reducing a document to two key sentences. It shows how to extract and summarize text from both plain strings and HTML files, with BeautifulSoup used for parsing HTML content. The code initializes an LSA (Latent Semantic Analysis) summarizer with an English stemmer and stop words, then processes documents through Sumy’s `PlaintextParser` or `HtmlParser` with a `Tokenizer`. The visible output prints the selected sentences, but does not render charts or graphs.

AI-generated description

Similar vizzes