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    <title>PyPI recent updates for revised-stopwords</title>
    <link>https://pypi.org/project/revised-stopwords/</link>
    <description>Recent updates to the Python Package Index for revised-stopwords</description>
    <language>en</language>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/revised-stopwords/0.1.4/</link>
      <description>An optimized stopwords list for sentiment analysis that retains key negations like &#39;not&#39;, &#39;won&#39;t&#39;, and &#39;wouldn&#39;t&#39;, along with intensity modifiers like &#39;very&#39; and &#39;most&#39; to preserve sentiment accuracy.</description>
<author>priyaashankar9498@gmail.com</author>      <pubDate>Fri, 14 Mar 2025 15:45:03 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/revised-stopwords/0.1.3/</link>
      <description>An optimized stopwords list for sentiment analysis that retains key negations like &#39;not&#39;, &#39;won&#39;t&#39;, and &#39;wouldn&#39;t&#39;, along with intensity modifiers like &#39;very&#39; and &#39;most&#39; to preserve sentiment accuracy.</description>
<author>priyaashankar9498@gmail.com</author>      <pubDate>Fri, 14 Mar 2025 15:35:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/revised-stopwords/0.1.2/</link>
      <description>An optimized stopwords list for sentiment analysis that retains key negations like &#39;not&#39;, &#39;won&#39;t&#39;, and &#39;wouldn&#39;t&#39;, along with intensity modifiers like &#39;very&#39; and &#39;most&#39; to preserve sentiment accuracy.</description>
<author>priyaashankar9498@gmail.com</author>      <pubDate>Thu, 13 Mar 2025 18:41:27 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/revised-stopwords/0.1.1/</link>
      <description>An optimized stopwords list for sentiment analysis that retains key negations like &#39;not&#39;, &#39;won&#39;t&#39;, and &#39;wouldn&#39;t&#39;, along with intensity modifiers like &#39;very&#39; and &#39;most&#39; to preserve sentiment accuracy.</description>
<author>priyaashankar9498@gmail.com</author>      <pubDate>Thu, 13 Mar 2025 18:16:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/revised-stopwords/0.1.0/</link>
      <description>An optimized stopwords list for sentiment analysis that retains key negations like &#39;not&#39;, &#39;won&#39;t&#39;, and &#39;wouldn&#39;t&#39;, along with intensity modifiers like &#39;very&#39; and &#39;most&#39; to preserve sentiment accuracy.</description>
<author>priyaashankar9498@gmail.com</author>      <pubDate>Thu, 13 Mar 2025 17:27:21 GMT</pubDate>
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