Textblob

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- `Important patch update for NLTK users`: Fix bug with importing TextBlob if local NLTK is installed.
- Fix bug with computing start and end indices of sentences.

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- Fix bug that disallowed display of non-ascii characters in the Python REPL.
- Backwards incompatible: Restore ``blob.json`` property for backwards compatibility with textblob<=0.3.10. Add a ``to_json()`` method that takes the same arguments as ``json.dumps``.
- Add ``WordList.append`` and ``WordList.extend`` methods that append Word objects.

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- Language translation and detection API!
- Add ``text.sentiments`` module. Contains the ``PatternAnalyzer`` (default implementation) as well as a ``NaiveBayesAnalyzer``.
- Part-of-speech tags can be accessed via ``TextBlob.tags`` or ``TextBlob.pos_tags``.
- Add ``polarity`` and ``subjectivity`` helper properties.

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- New ``text.tokenizers`` module with ``WordTokenizer`` and ``SentenceTokenizer``. Tokenizer instances (from either textblob itself or NLTK) can be passed to TextBlob's constructor. Tokens are accessed through the new ``tokens`` property.
- New ``Blobber`` class for creating TextBlobs that share the same tagger, tokenizer, and np_extractor.
- Add ``ngrams`` method.
- `Backwards-incompatible`: ``TextBlob.json()`` is now a method, not a property. This allows you to pass arguments (the same that you would pass to ``json.dumps()``).
- New home for documentation: https://textblob.readthedocs.io/
- Add parameter for cleaning HTML markup from text.
- Minor improvement to word tokenization.
- Updated NLTK.
- Fix bug with adding blobs to bytestrings.

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- Bundled NLTK no longer overrides local installation.
- Fix sentiment analysis of text with non-ascii characters.

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- Updated nltk.
- ConllExtractor is now Python 3-compatible.
- Improved sentiment analysis.
- Blobs are equal (with `==`) to their string counterparts.
- Added instructions to install textblob without nltk bundled.
- Dropping official 3.1 and 3.2 support.