<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<style type="text/css" style="display:none;"><!-- P {margin-top:0;margin-bottom:0;} --></style>
</head>
<body dir="ltr">
<div id="divtagdefaultwrapper" style="font-size:12pt;color:#000000;font-family:Calibri,Helvetica,sans-serif;" dir="ltr">
<div class="moz-cite-prefix">Nice catches Petter. <br>
<br>
When it comes to machine learning, I would like to autoclassify new incoming documents based on existing documents. Take for example the Hallingdal kommuner that I worked with. I generated 7 database dump extractions with related documents. The classification
code and other metadata and documents are linked. So we could try a machine learning training run on 2 of the extractions and verify the algorithm on the other 5. There are so many factors that we can finetune and play with during such experiments.<br>
<br>
The limiting factor here is privacy laws, but we could do this without ever looking at the sensitive data, but it would require a strict technical setup at an IKA.<br>
<br>
- Tom<br>
<br>
On 06/20/2017 10:10 PM, Petter Reinholdtsen wrote:<br>
</div>
<blockquote type="cite">
<pre>I found the marvelous quote above in a slide set about the NRK Origo
project,
<URL: <a class="moz-txt-link-freetext" href="https://kulturognaturreise.files.wordpress.com/2014/09/nrk-semantisk-teknologi-kulturlod-konferanse-gmoen-okt-2014.pdf" id="LPlnk186173" previewremoved="true">https://kulturognaturreise.files.wordpress.com/2014/09/nrk-semantisk-teknologi-kulturlod-konferanse-gmoen-okt-2014.pdf</a> >,
and thought it might be well received here. :)
Found the project via
<URL: <a class="moz-txt-link-freetext" href="https://www.digi.no/artikler/bruker-stemme-og-ansiktsgjenkjenning-for-a-gjore-det-enklere-a-finne-skjulte-skatter-i-nrk-arkivet/395984" id="LPlnk465009">https://www.digi.no/artikler/bruker-stemme-og-ansiktsgjenkjenning-for-a-gjore-det-enklere-a-finne-skjulte-skatter-i-nrk-arkivet/395984</a> >,
which mention work to automatically extract metadata using machine
learning. Seem like good inspiration for what we could do in Nikita. :)
Found the T-shirt over at
<URL: <a class="moz-txt-link-freetext" href="https://behappy.me/poster/metadata-is-a-love-note-to-the-future-heart-97740">https://behappy.me/poster/metadata-is-a-love-note-to-the-future-heart-97740</a> >
</pre>
<div id="LPBorder_GT_14980302328130.8321761552504299" style="margin-bottom: 20px; overflow: auto; width: 100%; text-indent: 0px;">
<table id="LPContainer_14980302328090.47538522822033924" role="presentation" cellspacing="0" style="width: 90%; position: relative; overflow: auto; padding-top: 20px; padding-bottom: 20px; margin-top: 20px; border-top-width: 1px; border-top-style: dotted; border-top-color: rgb(200, 200, 200); border-bottom-width: 1px; border-bottom-style: dotted; border-bottom-color: rgb(200, 200, 200); background-color: rgb(255, 255, 255);">
<tbody>
<tr valign="top" style="border-spacing: 0px;">
<td id="TextCell_14980302328110.6511507708099031" colspan="2" style="vertical-align: top; position: relative; padding: 0px; display: table-cell;">
<div id="LPRemovePreviewContainer_14980302328110.4868740228661115"></div>
<div id="LPTitle_14980302328110.2634865160126898" style="top: 0px; color: rgb(0, 114, 198); font-weight: normal; font-size: 21px; font-family: wf_segoe-ui_light, 'Segoe UI Light', 'Segoe WP Light', 'Segoe UI', 'Segoe WP', Tahoma, Arial, sans-serif; line-height: 21px;">
<a id="LPUrlAnchor_14980302328110.9514184882126018" href="https://kulturognaturreise.files.wordpress.com/2014/09/nrk-semantisk-teknologi-kulturlod-konferanse-gmoen-okt-2014.pdf" target="_blank" style="text-decoration: none;">Hvordan plassere oss for fremtiden
- endrede krav til ...</a></div>
<div id="LPMetadata_14980302328120.7340185707805913" style="margin: 10px 0px 16px; color: rgb(102, 102, 102); font-weight: normal; font-family: wf_segoe-ui_normal, 'Segoe UI', 'Segoe WP', Tahoma, Arial, sans-serif; font-size: 14px; line-height: 14px;">
kulturognaturreise.files.wordpress.com</div>
<div id="LPDescription_14980302328120.6186230473841519" style="display: block; color: rgb(102, 102, 102); font-weight: normal; font-family: wf_segoe-ui_normal, 'Segoe UI', 'Segoe WP', Tahoma, Arial, sans-serif; font-size: 14px; line-height: 20px; max-height: 100px; overflow: hidden;">
Nordlod-konferansen 24. Oktober 2014 Hvordan plassere oss for fremtiden - endrede krav til interne systemer for å imøtekomme fremtidens behov</div>
</td>
</tr>
</tbody>
</table>
</div>
<br>
</blockquote>
<br>
</div>
</body>
</html>