Turn your text into [hypertext](https://en.wikipedia.org/wiki/Hypertext) and enrich the content. Anchorman finds terms in text and replaces them with another representation.

The replacement is rule-based. Each term is checked against the rules and will be applied if valid:

# How many items will be marked at all in the text.
replaces_at_all: 5

# Input term has to be exact match in text.
case_sensitive: true

• replacement rules
• consider text units in the rules (e.g. paragraphs)
• replace only n items of the same item
• specify restricted_areas for linking by tag: a, img
• sort elements by value before apply them
• return applied elements

This shows a little example how to annotate elements in text:

>>> from anchorman import annotate
>>> text = 'The quick brown fox jumps over the lazy dog.'
>>> elements = [{'fox': {'value': '/wiki/fox', 'data-type': 'animal'}}]
>>> print annotate(text, elements)
'The quick brown <a href="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/wiki/fox" data-type="animal">fox</a> jumps over the lazy dog.'

To install Anchorman, simply:

pip install anchorman

We published this at github and pypi to provide our solution to you. Pleased for feedback and contributions.

Thanks [@tarnacious](https://github.com/tarnacious) for inspiration and first steps.

• check if position exist in input and save extra processing
• html.parser vs lxml in bs4 - benchmarks and drawbacks

<img src="https://raw.githubusercontent.com/rebeling/anchorman/master/docs/anchorman.png" width="200">

Stay tuned.