Text-scrubber

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*(2024-08-26)*

- Added :meth:`text_scrubber.text_scrubber.TextScrubber.convert_html_entities`
- Added :meth:`text_scrubber.text_scrubber.TextScrubber.fix_bad_unicode`
- Added :meth:`text_scrubber.text_scrubber.TextScrubber.latex_to_text`
- Added :meth:`text_scrubber.text_scrubber.TextScrubber.normalize_unicode`
- Removed Python 3.6 and 3.7 support
- Replaced dependency `Levenshtein` with `rapidfuzz` for licensing reasons

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*(2023-04-14)*

- Changed ownership of and moved repository from `Slimmer-AI` to `sybrenjansen`

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*(2022-05-27)*

- Documentation issue prevented GitHub from uploading ``text-scrubber`` to PyPI

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*(2022-05-27)*

- Common country replacements have been updated to allow for fuzzy matching
- Country codes added such that they can be matched through :meth:`text_scrubber.geo.normalize_country`
- The geo normalize functions now return the canonical name together with the matched name
- The geo normalize functions now return a :class:`text_scrubber.geo.normalize.Location` object
- The geo find in string functions now return a :class:`text_scrubber.geo.find_in_string.ExtractedLocation` object

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*(2022-05-19)*

- Updated MANIFEST.in file to include the Cython files

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*(2022-05-19)*

- Optimized Levenshtein and trigram similarity functions, and all normalization functions. Speed-ups of x20-40 are to be
expected