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A package for representing conversations as DAGs for visualization, analysis, and pre-processing.

Project description

A package for representing conversations as DAGs for visualization, analysis, and pre-processing.

  • Free software: MIT license

Installation

pip install pyconversations

You can also install the in-development version with:

pip install https://github.com/hunter-heidenreich/pyconversations/archive/master.zip

Documentation

https://pyconversations.readthedocs.io/

Development

To run all the tests run:

tox

Note, to combine the coverage data from all the tox environments run:

Windows

set PYTEST_ADDOPTS=--cov-append
tox

Other

PYTEST_ADDOPTS=--cov-append tox

Changelog

0.1.0 (2021-08-23)

  • Reading raw formats
    • Update known keys in reading raw tweet data

    • Update (and greatly expand) the known keys for extracting data from raw Reddit data

  • Filtration
    • Conversation.filter now returns a new Conversation object without modifying the original object

    • Add ability to filter by platform

  • Message objects
    • Set platforms in specific message type constructors

    • Upgrade user detection regex (Twitter and Reddit)

  • Tokenizer
    • Alter tokenizers into an object centered format (no longer a functional one)

    • Add a wrapper for generic tokenizer types

  • Complete overhaul of feature extraction system!

0.0.2 (2021-07-01)

  • Fix pyconversations.tokenizers.PartitionTokenizer

0.0.1 (2021-06-30)

  • Stable first release on PyPI, with properly formatted and distributable dependencies.

  • Jupyter Notebook tutorials

0.0.0 (2021-05-30)

  • First release on PyPI.

Project details


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