# Changelog

## 0.3.1 (29/08/2014)

- Improved `PatternParserNPExtractor` (less false positives in verb filter)
- Made sure that all keyword arguments with default `None` are checked with `is not None`
- Fixed shortcut to `_pattern.de` in vendorized library
- Added `Makefile` to facilitate development process
- Added docs and API reference

## 0.3.0 (14/08/2014)

- Fixed Issue #5 (text + space + period)

## 0.2.9 (14/08/2014)

- Fixed tokenization in `PatternParser` (if initialized manually, punctuation was not always separated from words)
- Improved handling of empty strings (Issue #3) and of strings containing single punctuation marks (Issue #4) in `PatternTagger` and `PatternParser`
- Added tests for empty strings and for strings containing single punctuation marks

## 0.2.8 (14/08/2014)

- Fixed Issue #3 (empty string)
- Fixed Issue #4 (space + punctuation)

## 0.2.7 (13/08/2014)

- Fixed Issue #1 lemmatization of strings containing a forward slash (`/`)
- Enhancement Issue #2 use the same rtype as `textblob` for sentiment detection.
- Fixed tokenization in `PatternParserLemmatizer`

## 0.2.6 (04/08/2014)

- Fixed `MANIFEST.in` for package data in `sdist`

## 0.2.5 (04/08/2014)

- `sdist` is non-functional as important files are missing due to a misconfiguration in `MANIFEST.in` - does not affect `wheels`
- Major internal refactoring (but no backwards-incompatible API changes) with the aim of restoring complete compatibility to original `pattern>=2.6` library on Python2
- Separation of `textblob` and `pattern` code
- On Python2 the vendorized version of `pattern.text.de` is only used, if original is not installed (same as `nltk`)
- Made `pattern.de.pprint` function and all parser keywords accessible to customise parser output
- Access to complete `pattern.text.de` API on Python2 and Python3 `from textblob_de.packages import pattern_de as pd`
- `tox` passed on all major platforms (Win/Linux/OSX)

## 0.2.3 (26/07/2014)

- Lemmatizer: `PatternParserLemmatizer()` extracts lemmata from Parser output
- Improved polarity analysis through look-up of lemmatised word forms

## 0.2.2 (22/07/2014)

- Option: Include punctuation in `tags`/`pos_tags` properties (`b = TextBlobDE(text, tagger=PatternTagger(include_punc=True))`)
- Added `BlobberDE()` class initialized with German models
- `TextBlobDE()`, `Sentence()`, `WordList()` and `Word()` classes are now all initialized with German models
- Restored complete API compatibility with `textblob.tokenizers` module of the main TextBlob library

## 0.2.1 (20/07/2014)

- Noun Phrase Extraction: `PatternParserNPExtractor()` extracts NPs from Parser output
- Refactored the way `TextBlobDE()` passes on arguments and keyword arguments to individual tools
- Backwards-incompatible: Deprecate `parser_show_lemmata=True` keyword in `TextBlob()`. Use `parser=PatternParser(lemmata=True)` instead.

## 0.2.0 (18/07/2014)

- vastly improved tokenization (`NLTKPunktTokenizer` and `PatternTokenizer` with tests)
- consistent use of specified tokenizer for all tools
- `TextBlobDE` with initialized default models for German
- Parsing (`PatternParser`) plus `test_parsers.py`
- EXPERIMENTAL implementation of Polarity detection (`PatternAnalyzer`)
- first attempt at extracting German Polarity clues into `de-sentiment.xml`
- tox tests passing for py26, py27, py33 and py34

## 0.1.3 (09/07/2014)

- First release on PyPI

## 0.1.0 - 0.1.2 (09/07/2014)

- First release on github
- A number of experimental releases for testing purposes
- Adapted version badges, tests & travis-ci config
- Code adapted from sample extension textblob-fr
- Language specific linguistic resources copied from pattern-de