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    <title>topic Re: Is it possible to do a NLP like extraction using Data Integration tool in Talend Studio</title>
    <link>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200127#M2743</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Yes.It helped to get an idea about the steps to follow.I created a lookup table with possible values and merged it in tmap.&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Sreedevi&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 23 May 2017 18:32:41 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2017-05-23T18:32:41Z</dc:date>
    <item>
      <title>Is it possible to do a NLP like extraction using Data Integration tool</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200122#M2738</link>
      <description>&lt;P&gt;Hi All,&lt;/P&gt;&lt;P&gt;I want to know whether NLP like extraction is possible with Talend Data Integration tool.&lt;/P&gt;&lt;P&gt;My requirement is as follows:&lt;/P&gt;&lt;P&gt;In an excel sheet ,I have&amp;nbsp;a column named 'Description'. It is a lengthy string giving details about a product.&lt;/P&gt;&lt;P&gt;I have a column in DB,named 'Product Type'. Product Type can have values like Product1,Product2,Product3 etc.&lt;/P&gt;&lt;P&gt;I need to analyse the 'Description' field in the excel sheet and find out whether a value like Product1 or Product2 or Product3 is available in that .If its present,extract the value and populate the 'Product Type' column in DB.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Please help me to figure out the feasibility of doing &amp;nbsp;such a task using Talend DI.&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Sreedevi&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 18 May 2017 16:51:03 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200122#M2738</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2017-05-18T16:51:03Z</dc:date>
    </item>
    <item>
      <title>Re: Is it possible to do a NLP like extraction using Data Integration tool</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200123#M2739</link>
      <description>&lt;P&gt;of corse, u can do it.&lt;/P&gt;&lt;P&gt;u could use the &amp;nbsp; equals or conten&amp;nbsp;Equals function to realize this.&lt;/P&gt;</description>
      <pubDate>Thu, 18 May 2017 17:01:10 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200123#M2739</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2017-05-18T17:01:10Z</dc:date>
    </item>
    <item>
      <title>Re: Is it possible to do a NLP like extraction using Data Integration tool</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200124#M2740</link>
      <description>&lt;P&gt;IMHO, using just "equals" or "contains" methods may be a little restrictive compared from&amp;nbsp;what you can expect from a NLP method.&lt;/P&gt;&lt;P&gt;I suggest you to include&amp;nbsp;&lt;A href="https://stanfordnlp.github.io/CoreNLP/" target="_self" rel="nofollow noopener noreferrer"&gt;Stanford CoreNLP&lt;/A&gt;&amp;nbsp;(or other NLP engine) in your project if you want to&amp;nbsp;take advantage of a real&lt;SPAN&gt; natural language analysis tool.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 18 May 2017 17:16:13 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200124#M2740</guid>
      <dc:creator>TRF</dc:creator>
      <dc:date>2017-05-18T17:16:13Z</dc:date>
    </item>
    <item>
      <title>Re: Is it possible to do a NLP like extraction using Data Integration tool</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200125#M2741</link>
      <description>&lt;P&gt;Thanks all.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Sreedevi&lt;/P&gt;</description>
      <pubDate>Fri, 19 May 2017 07:00:45 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200125#M2741</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2017-05-19T07:00:45Z</dc:date>
    </item>
    <item>
      <title>Re: Is it possible to do a NLP like extraction using Data Integration tool</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200126#M2742</link>
      <description>&lt;A href="https://community.qlik.com/s/profile/0053p000007LLzkAAG"&gt;@sreedevi_s&lt;/A&gt;, let us know if it helps and what's the next step for your usecase</description>
      <pubDate>Fri, 19 May 2017 22:53:15 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200126#M2742</guid>
      <dc:creator>TRF</dc:creator>
      <dc:date>2017-05-19T22:53:15Z</dc:date>
    </item>
    <item>
      <title>Re: Is it possible to do a NLP like extraction using Data Integration tool</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200127#M2743</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Yes.It helped to get an idea about the steps to follow.I created a lookup table with possible values and merged it in tmap.&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Sreedevi&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 23 May 2017 18:32:41 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Is-it-possible-to-do-a-NLP-like-extraction-using-Data/m-p/2200127#M2743</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2017-05-23T18:32:41Z</dc:date>
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