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"author": "matthias rebel",
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"description": "# Welcome to Anchorman\n\n.. image:: https://img.shields.io/pypi/v/anchorman.svg\n :target: https://pypi.python.org/pypi/anchorman\n :alt: Latest Version\n\n.. image:: https://travis-ci.org/rebeling/anchorman.svg?branch=master\n :target: https://travis-ci.org/rebeling/anchorman\n\nTurn your text into [hypertext](http://en.wikipedia.org/wiki/Hypertext) \nand enrich the content. Anchorman finds terms in text and replaces\nthem with another representation.\n\nThe replacement is rule-based. Each term is checked against the rules\nand will be applied if valid.\n\n # How many items will be marked at all in the text.\n replaces_at_all: 5\n\n # Input term has to be exact match in text.\n case_sensitive: true\n\n\n## Features\n\n* replacement rules\n* consider text units in the rules (e.g. paragraphs)\n* replace only n items of the same item\n* specify restricted_areas for linking by tag: a, img\n* sort elements by value before apply them\n* return applied elements\n\n\n## Usage\n\n >>> from anchorman import annotate\n >>> text = 'The quick brown fox jumps over the lazy dog.'\n >>> elements = [{'fox': {'value': '/wiki/fox', 'data-type': 'animal'}}]\n >>> print annotate(text, elements)\n 'The quick brown fox jumps over the lazy dog.'\n\n\n## Installation\n\nTo install Anchorman, simply:\n\n pip install anchorman\n\n\n## Credits and contributions\n\nWe published this at github and pypi to provide our solution to you.\nPleased for feedback and contributions.\n\nThanks [@tarnacious](https://github.com/tarnacious) for inspiration\nand first steps.\n\n\n## Todo\n\n* check if position exist in input and save extra processing\n* html.parser vs lxml in bs4 - benchmarks and drawbacks\n\n![](\"https://raw.githubusercontent.com/rebeling/anchorman/master/docs/anchorman.png\")
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