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Anchorman takes a list of terms and a text. It finds the terms in this text and replaces them with another representation.

Project description

# Welcome to Anchorman

Latest Version https://travis-ci.org/rebeling/anchorman.svg?branch=master

Turn your text into [hypertext](http://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

## Features

  • 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

## Usage

>>> 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="/wiki/fox" data-type="animal">fox</a> jumps over the lazy dog.'

## Installation

To install Anchorman, simply:

pip install anchorman

## Credits and contributions

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.

## Todo

  • 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.

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