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    <title>PyPI recent updates for bertrend</title>
    <link>https://pypi.org/project/bertrend/</link>
    <description>Recent updates to the Python Package Index for bertrend</description>
    <language>en</language>    <item>
      <title>0.4.9</title>
      <link>https://pypi.org/project/bertrend/0.4.9/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Thu, 26 Mar 2026 14:27:04 GMT</pubDate>
    </item>    <item>
      <title>0.4.8</title>
      <link>https://pypi.org/project/bertrend/0.4.8/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 09 Mar 2026 10:30:02 GMT</pubDate>
    </item>    <item>
      <title>0.4.7</title>
      <link>https://pypi.org/project/bertrend/0.4.7/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Sun, 08 Mar 2026 18:35:08 GMT</pubDate>
    </item>    <item>
      <title>0.4.6</title>
      <link>https://pypi.org/project/bertrend/0.4.6/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 02 Mar 2026 10:18:25 GMT</pubDate>
    </item>    <item>
      <title>0.4.5</title>
      <link>https://pypi.org/project/bertrend/0.4.5/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Fri, 27 Feb 2026 15:22:48 GMT</pubDate>
    </item>    <item>
      <title>0.4.4</title>
      <link>https://pypi.org/project/bertrend/0.4.4/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Fri, 27 Feb 2026 12:27:41 GMT</pubDate>
    </item>    <item>
      <title>0.4.3</title>
      <link>https://pypi.org/project/bertrend/0.4.3/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 16 Feb 2026 18:07:45 GMT</pubDate>
    </item>    <item>
      <title>0.4.2</title>
      <link>https://pypi.org/project/bertrend/0.4.2/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 16 Feb 2026 17:56:40 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/bertrend/0.4.1/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Thu, 12 Feb 2026 11:03:54 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/bertrend/0.4.0/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 09 Feb 2026 10:12:59 GMT</pubDate>
    </item>    <item>
      <title>0.3.24</title>
      <link>https://pypi.org/project/bertrend/0.3.24/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Wed, 28 Jan 2026 16:33:21 GMT</pubDate>
    </item>    <item>
      <title>0.3.23</title>
      <link>https://pypi.org/project/bertrend/0.3.23/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 24 Nov 2025 14:50:53 GMT</pubDate>
    </item>    <item>
      <title>0.3.22</title>
      <link>https://pypi.org/project/bertrend/0.3.22/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Tue, 04 Nov 2025 08:35:49 GMT</pubDate>
    </item>    <item>
      <title>0.3.21</title>
      <link>https://pypi.org/project/bertrend/0.3.21/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 03 Nov 2025 17:23:07 GMT</pubDate>
    </item>    <item>
      <title>0.3.20</title>
      <link>https://pypi.org/project/bertrend/0.3.20/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 20 Oct 2025 11:10:58 GMT</pubDate>
    </item>    <item>
      <title>0.3.19</title>
      <link>https://pypi.org/project/bertrend/0.3.19/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Tue, 14 Oct 2025 16:08:19 GMT</pubDate>
    </item>    <item>
      <title>0.3.18</title>
      <link>https://pypi.org/project/bertrend/0.3.18/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Wed, 01 Oct 2025 10:01:04 GMT</pubDate>
    </item>    <item>
      <title>0.3.17</title>
      <link>https://pypi.org/project/bertrend/0.3.17/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Thu, 25 Sep 2025 17:08:58 GMT</pubDate>
    </item>    <item>
      <title>0.3.16</title>
      <link>https://pypi.org/project/bertrend/0.3.16/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Tue, 23 Sep 2025 16:56:18 GMT</pubDate>
    </item>    <item>
      <title>0.3.15</title>
      <link>https://pypi.org/project/bertrend/0.3.15/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Tue, 23 Sep 2025 14:56:40 GMT</pubDate>
    </item>    <item>
      <title>0.3.14</title>
      <link>https://pypi.org/project/bertrend/0.3.14/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Wed, 17 Sep 2025 09:24:20 GMT</pubDate>
    </item>    <item>
      <title>0.3.13</title>
      <link>https://pypi.org/project/bertrend/0.3.13/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Thu, 07 Aug 2025 15:26:38 GMT</pubDate>
    </item>    <item>
      <title>0.3.12</title>
      <link>https://pypi.org/project/bertrend/0.3.12/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 04 Aug 2025 14:58:25 GMT</pubDate>
    </item>    <item>
      <title>0.3.11</title>
      <link>https://pypi.org/project/bertrend/0.3.11/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Thu, 24 Jul 2025 15:58:16 GMT</pubDate>
    </item>    <item>
      <title>0.3.10</title>
      <link>https://pypi.org/project/bertrend/0.3.10/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Wed, 23 Jul 2025 14:04:12 GMT</pubDate>
    </item>    <item>
      <title>0.3.9</title>
      <link>https://pypi.org/project/bertrend/0.3.9/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Thu, 17 Jul 2025 08:58:10 GMT</pubDate>
    </item>    <item>
      <title>0.3.8</title>
      <link>https://pypi.org/project/bertrend/0.3.8/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Wed, 09 Jul 2025 09:12:21 GMT</pubDate>
    </item>    <item>
      <title>0.3.7</title>
      <link>https://pypi.org/project/bertrend/0.3.7/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Thu, 03 Jul 2025 12:38:01 GMT</pubDate>
    </item>    <item>
      <title>0.3.6</title>
      <link>https://pypi.org/project/bertrend/0.3.6/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Tue, 01 Jul 2025 15:44:00 GMT</pubDate>
    </item>    <item>
      <title>0.3.5</title>
      <link>https://pypi.org/project/bertrend/0.3.5/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Tue, 10 Jun 2025 14:00:09 GMT</pubDate>
    </item>    <item>
      <title>0.3.4</title>
      <link>https://pypi.org/project/bertrend/0.3.4/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Fri, 16 May 2025 16:31:56 GMT</pubDate>
    </item>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/bertrend/0.3.3/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Thu, 15 May 2025 09:00:34 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/bertrend/0.3.2/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Tue, 13 May 2025 09:56:13 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/bertrend/0.3.1/</link>
      <description>BERTrend analyses topic evolution over time using state-of-the-art transformer models: topic modelling and LLM</description>
<author>jerome.picault@rte-france.com</author>      <pubDate>Mon, 12 May 2025 15:10:53 GMT</pubDate>
    </item>  </channel>
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