<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Leveraging text analytics and AI to assess police narrative events indicating human trafficking in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Leveraging-text-analytics-and-AI-to-assess-police-narrative/m-p/856310#M10416</link>
    <description>&lt;P&gt;&lt;SPAN&gt;&lt;A href="https://blogs.sas.com/content/subconsciousmusings/2023/01/18/leveraging-text-analytics-and-ai-to-assess-police-narrative-events-indicating-human-trafficking/" target="_self"&gt;In this SAS blog&lt;/A&gt;, Kirk Swilley and Tom Sabo showcase how given minimal structured data, they leveraged text analytics capabilities to identify patterns in narrative data that could be assessed in intuitive ways. While police departments have additional metadata related to these narrative incidents, it is possible that such metadata only allows for a primary offense, such as a drug abuse incident, while there are indications in the narratives of a secondary issue, such as human trafficking risk. Additionally, similar methods could be leveraged on textual or transcribed tips and other textual data sources of investigation to help filter, classify, and route these leads appropriately for quick action.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;A href="https://blogs.sas.com/content/subconsciousmusings/2023/01/18/leveraging-text-analytics-and-ai-to-assess-police-narrative-events-indicating-human-trafficking/" target="_self"&gt;Click to read&lt;/A&gt; this informative blog.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Figure-2.png" style="width: 585px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/79933i41C313B54CA1D0AD/image-size/large?v=v2&amp;amp;px=999" role="button" title="Figure-2.png" alt="Figure-2.png" /&gt;&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 30 Jan 2023 18:59:02 GMT</pubDate>
    <dc:creator>ShelleySessoms</dc:creator>
    <dc:date>2023-01-30T18:59:02Z</dc:date>
    <item>
      <title>Leveraging text analytics and AI to assess police narrative events indicating human trafficking</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Leveraging-text-analytics-and-AI-to-assess-police-narrative/m-p/856310#M10416</link>
      <description>&lt;P&gt;&lt;SPAN&gt;&lt;A href="https://blogs.sas.com/content/subconsciousmusings/2023/01/18/leveraging-text-analytics-and-ai-to-assess-police-narrative-events-indicating-human-trafficking/" target="_self"&gt;In this SAS blog&lt;/A&gt;, Kirk Swilley and Tom Sabo showcase how given minimal structured data, they leveraged text analytics capabilities to identify patterns in narrative data that could be assessed in intuitive ways. While police departments have additional metadata related to these narrative incidents, it is possible that such metadata only allows for a primary offense, such as a drug abuse incident, while there are indications in the narratives of a secondary issue, such as human trafficking risk. Additionally, similar methods could be leveraged on textual or transcribed tips and other textual data sources of investigation to help filter, classify, and route these leads appropriately for quick action.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;A href="https://blogs.sas.com/content/subconsciousmusings/2023/01/18/leveraging-text-analytics-and-ai-to-assess-police-narrative-events-indicating-human-trafficking/" target="_self"&gt;Click to read&lt;/A&gt; this informative blog.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Figure-2.png" style="width: 585px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/79933i41C313B54CA1D0AD/image-size/large?v=v2&amp;amp;px=999" role="button" title="Figure-2.png" alt="Figure-2.png" /&gt;&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 30 Jan 2023 18:59:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Leveraging-text-analytics-and-AI-to-assess-police-narrative/m-p/856310#M10416</guid>
      <dc:creator>ShelleySessoms</dc:creator>
      <dc:date>2023-01-30T18:59:02Z</dc:date>
    </item>
  </channel>
</rss>

