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textacy v0.6.1 Release Notes

Release Date: 2018-04-12 // about 6 years ago

  • 🔄 Changes:

    ➕ Add a new spacier sub-package for spaCy-oriented functionality (#168, #187)

    • Thus far, this includes a components module with two custom spaCy
      📜 pipeline components: one to compute text stats on parsed documents, and
      🔀 another to merge named entities into single tokens in an efficient manner.
      More to come!
    • Similar functionality in the top-level spacy_pipelines module has been
      🚚 deprecated; it will be removed in v0.7.0.

    ⚡️ Update the readme, usage, and API reference docs to be clearer and (I hope)
    more useful. (#186)

    Removing punctuation from a text via the preprocessing module now replaces
    punctuation marks with a single space rather than an empty string. This gives
    👍 better behavior in many situations; for example, "won't" => "won t" rather than
    "wont", the latter of which is a valid word with a different meaning.

    Categories are now correctly extracted from non-English language Wikipedia
    datasets, starting with French and German and extendable to others. (#175)

    🌲 Log progress when adding documents to a corpus. At the debug level, every
    doc's addition is logged; at the info level, only one message per batch
    of documents is logged. (#183)

    🛠 Bugfixes:

    • 🛠 Fix two breaking typos in extract.direct_quotations(). (issue #177)
    • 📜 Prevent crashes when adding non-parsed documents to a Corpus. (#180)
    • Fix bugs in keyterms.most_discriminating_terms() that used vsm
      functionality as it was before the changes in v0.6.0. (#189)
    • Fix a breaking typo in vsm.matrix_utils.apply_idf_weighting(), and rename
      the problematic kwarg for consistency with related functions. (#190)

    Contributors:

    Big thanks to @sammous, @dixiekong (nice name!), and @SandyRogers for the pull
    requests, and many more for pointing out various bugs and the rougher edges /
    📦 unsupported use cases of this package.