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Extract publication dates from web pages

Project description

Build Status Coverage

A library to extract a publication date from a web page, along with a measure of the accuracy. This was produced as a part of the mediacloud project, in order to accurately extract dates from content.

Installation

The library is available on PyPI, and may be installed with

pip install date_guesser

Quickstart

The date guesser uses both the url and the html to work, and uses some heuristics to decide which of many possible dates might be the best one.

from date_guesser import guess_date, Accuracy

# Uses url slugs when available
guess = guess_date(url='https://www.nytimes.com/2017/10/13/some_news.html',
                   html='<could be anything></could>')

#  Returns a Guess object with three properties
guess.date      # datetime.datetime(2017, 10, 13, 0, 0, tzinfo=<UTC>)
guess.accuracy  # Accuracy.DATE
guess.method    # 'Found /2017/10/13/ in url'

In case there are two trustworthy sources of dates, date_guesser prefers the more accurate one

html = '''
    <html><head>
    <meta property="article:published" itemprop="datePublished" content="2017-10-13T04:56:54-04:00" />
    </head></html>'''
guess = guess_date(url='https://www.nytimes.com/2017/10/some_news.html',
                   html=html)
guess.date  # datetime.datetime(2017, 10, 13, 4, 56, 54, tzinfo=tzoffset(None, -14400))
guess.accuracy is Accuracy.DATETIME  # True

But date_guesser is not led astray by more accurate, less trustworthy sources of information

html = '''
    <html><head>
    <meta property="og:image" content="foo.com/2016/7/4/whatever.jpg"/>
    </head></html>'''
guess = guess_date(url='https://www.nytimes.com/2017/10/some_news.html',
                   html=html)
guess.date  # datetime.datetime(2017, 10, 15, 0, 0, tzinfo=<UTC>)
guess.accuracy is Accuracy.PARTIAL  # True

Future Work

Languages

The code does quite poorly on foreign news sources. This page is Ukranian and has a date on it that a non-Ukranian could identify, but it is not extracted:

import requests

guess = guess_date(url='https://www.dw.com/uk/коментар-націоналізм-родом-зі-східної-європи/a-42081385',
                   html=requests.get(url).text)
guess.date  # None
guess.accuracy is Accuracy.NONE  # True
guess.method == 'Did not find anything'  # True

Reckless Mode

We keep track of the accuracy of extracted dates, but we do not keep track of the confidence of extracted dates being accurate. This may be a way to do more tuning given a particular use case. For example, one strategy we do not employ is a regex for all the date patterns we recognize, since that was far too error-prone. Such an approach might be preferable to returning None in certain cases.

Performance

We benchmarked the accuracy against the wonderful newspaper library, using one hundred urls gathered from each of four very different topics in the mediacloud system. This includes blogs and news articles, as well as many urls that have no date (in which case a guess is marked correct only if it returns None).

Vaccines

date_guesser

newspaper

1 days

57

48

7 days

61

51

15 days

66

53

Aadhar Card in India

date_guesser

newspaper

1 days

73

44

7 days

74

44

15 days

74

44

Donald Trump in 2017

date_guesser

newspaper

1 days

79

60

7 days

83

61

15 days

85

61

Recipes for desserts and chocolate

date_guesser

newspaper

1 days

83

65

7 days

85

69

15 days

87

69

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