Summarizes news articles
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xiaoxu193 Merge pull request #52 from Twin802/patch-1
Update 'beautifulsoup' dependency to 'bs4'
Latest commit bcbcae3 Nov 3, 2017


PyTeaser takes any news article and extract a brief summary from it. It's based on the original Scala project.

Summaries are created by ranking sentences in a news article according to how relevant they are to the entire text. The top 5 sentences are used to form a "summary". Each sentence is ranked by using four criteria:

  • Relevance to the title
  • Relevance to keywords in the article
  • Position of the sentence
  • Length of the sentence


Requires Python 2.7. (Need Collections.Counter)

sudo pip install pyteaser

These dependency packages will be automatically installed:


Note: if you're installing on Windows, you have to install one of the dependency package lxml manually using:

easy_install lxml==2.3.3

More information about this issue here:


sample command:

>>> from pyteaser import SummarizeUrl
>>> url = ''
>>> summaries = SummarizeUrl(url)
>>> print summaries


["Twitter\'s move is the latest response from U.S. Internet firms following disclosures by former spy agency contractor Edward Snowden about widespread, classified U.S. government surveillance programs.", "\\"Since then, it has become clearer and clearer how important that step was to protecting our users\' privacy.\\"", "The online messaging service, which began scrambling communications in 2011 using traditional HTTPS encryption, said on Friday it has added an advanced layer of protection for HTTPS known as \\"forward secrecy.\\"", "\\"A year and a half ago, Twitter was first served completely over HTTPS,\\" the company said in a blog posting.", " \\"I\'m glad this is the direction the industry is taking.\\" \\n\\n(Reporting by Jim Finkle; editing by Andrew Hay)"]

you can use Summarize(title, text) directly if you already have the text and the title. Otherwise you must install Python Goose to extract text from url.