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    <title>PyPI recent updates for sashimi-domains</title>
    <link>https://pypi.org/project/sashimi-domains/</link>
    <description>Recent updates to the Python Package Index for sashimi-domains</description>
    <language>en</language>    <item>
      <title>0.9.7</title>
      <link>https://pypi.org/project/sashimi-domains/0.9.7/</link>
      <description>A Python module for mixed-methods qualitative studies of large textual or symbolic corpora, providing applications of statistical models accompanied by tailored interactive visualizations. It affords the detection of both textual and metadata structures by employing stochastic block modeling (SBM) from `graph-tool` or (currently deprecated) word embedding from `gensim`.</description>
<author>abdo@member.fsf.org</author>      <pubDate>Thu, 04 Apr 2024 03:09:16 GMT</pubDate>
    </item>    <item>
      <title>0.9.6</title>
      <link>https://pypi.org/project/sashimi-domains/0.9.6/</link>
      <description>`sashimi` is a Python module for mixed-methods qualitative studies of large textual or symbolic corpora, providing applications of statistical models accompanied by tailored interactive visualizations. It affords the detection of both textual and metadata structures by employing stochastic block modeling (SBM) from [`graph-tool`](https://graph-tool.skewed.de/) or (currently deprecated) word embedding from `gensim`.</description>
<author>abdo@member.fsf.org</author>      <pubDate>Thu, 04 Apr 2024 02:50:01 GMT</pubDate>
    </item>    <item>
      <title>0.9.4</title>
      <link>https://pypi.org/project/sashimi-domains/0.9.4/</link>
      <description>Sashimi is a Python module that provides tailored mathematical models and corresponding interactive visualisations for exploratory and confirmatory mixed-methods analysis of large textual or token corpora. It can detect textual and metadata structures and shifts, by employing stochastic block modeling (SBM) from graph-tool or [currently deprecated] word embedding from Gensim.</description>
<author>abdo@member.fsf.org</author>      <pubDate>Tue, 02 Apr 2024 11:14:40 GMT</pubDate>
    </item>    <item>
      <title>0.9.3</title>
      <link>https://pypi.org/project/sashimi-domains/0.9.3/</link>
      <description>Sashimi is a Python module that provides tailored mathematical models and corresponding interactive visualisations for exploratory and confirmatory mixed-methods analysis of large textual or token corpora. It can detect textual and metadata structures and shifts, by employing stochastic block modeling (SBM) from graph-tool or [currently deprecated] word embedding from Gensim.</description>
<author>abdo@member.fsf.org</author>      <pubDate>Sat, 01 Jul 2023 17:03:10 GMT</pubDate>
    </item>    <item>
      <title>0.9.2</title>
      <link>https://pypi.org/project/sashimi-domains/0.9.2/</link>
      <description>Sashimi is a Python module that provides tailored mathematical models and corresponding interactive visualisations for exploratory and confirmatory mixed-methods analysis of large textual or token corpora. It can detect textual and metadata structures and shifts, by employing stochastic block modeling (SBM) from graph-tool or [currently deprecated] word embedding from Gensim.</description>
<author>abdo@member.fsf.org</author>      <pubDate>Fri, 07 Apr 2023 08:18:13 GMT</pubDate>
    </item>    <item>
      <title>0.9.1</title>
      <link>https://pypi.org/project/sashimi-domains/0.9.1/</link>
      <description>Sashimi is a Python module that provides tailored mathematical models and corresponding interactive visualisations for exploratory and confirmatory mixed-methods analysis of large textual or token corpora. It can detect textual and metadata structures and shifts, by employing stochastic block modeling (SBM) from graph-tool or [currently deprecated] word embedding from Gensim.</description>
<author>abdo@member.fsf.org</author>      <pubDate>Fri, 07 Apr 2023 08:04:08 GMT</pubDate>
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