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	<title>issue detection &#8211; Stakeholder 360®</title>
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		<title>Automated Content Analysis</title>
		<link>https://stakeholder360.com/2020/12/27/automated-content-analysis/</link>
		
		<dc:creator><![CDATA[Robert Boutilier]]></dc:creator>
		<pubDate>Sun, 27 Dec 2020 21:12:28 +0000</pubDate>
				<category><![CDATA[Bob's Blog]]></category>
		<category><![CDATA[Bag-of-Words]]></category>
		<category><![CDATA[Boutilier]]></category>
		<category><![CDATA[content analysis]]></category>
		<category><![CDATA[controversy management]]></category>
		<category><![CDATA[issue detection]]></category>
		<category><![CDATA[issue management]]></category>
		<category><![CDATA[Kyle Bahr]]></category>
		<category><![CDATA[narrative analysis]]></category>
		<category><![CDATA[narrative detection]]></category>
		<category><![CDATA[Natural Language Processing]]></category>
		<category><![CDATA[NLP]]></category>
		<category><![CDATA[policy narrative]]></category>
		<category><![CDATA[SLaCDA]]></category>
		<category><![CDATA[text analysis]]></category>
		<category><![CDATA[text processing]]></category>
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					<description><![CDATA[Automated content analysis December 27, 2020&#160;&#160;&#160; Content analysis can extract valuable insights from texts, and <a href="https://stakeholder360.com/2020/12/27/automated-content-analysis/"> Read more&#8230;</a>]]></description>
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					<h2 class="elementor-heading-title elementor-size-default">Automated content analysis</h2>				</div>
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									<p>December 27, 2020    Content analysis can extract valuable insights from texts, and the world is producing more texts than ever. However, the traditional method relies on humans reading and categorizing the content. That is too slow and expensive to be useful for most potential applications. This video explains the automated methods that reduce the time required from months to hours. Dr. Kyle Bahr and I have developed a computer program called the Social Licence and Controversy Detector and Analyzer (SLaCDA) based on the Natural Language Processing (NLP) approach to content analysis. The video explains how it works and shows how it can help find strategic insights from texts that previously would have taken too long to analyze. </p><p><iframe title="Automated Content Analysis Using SLaCDA" width="730" height="411" src="https://www.youtube.com/embed/Ra4a2RShW2w?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></p>								</div>
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		<title>Social media mining for social license estimation and issue detection using machine learning and natural language processing techniques</title>
		<link>https://stakeholder360.com/2019/10/24/social-media-mining-for-social-license-estimation-and-issue-detection-using-machine-learning-and-natural-language-processing-techniques/</link>
		
		<dc:creator><![CDATA[Robert Boutilier]]></dc:creator>
		<pubDate>Thu, 24 Oct 2019 17:38:00 +0000</pubDate>
				<category><![CDATA[Presentations]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Bolivia]]></category>
		<category><![CDATA[controversy detection]]></category>
		<category><![CDATA[discourse detection]]></category>
		<category><![CDATA[issue detection]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[narrative analysis]]></category>
		<category><![CDATA[narrative detection]]></category>
		<category><![CDATA[narrative networks]]></category>
		<category><![CDATA[social licence]]></category>
		<category><![CDATA[stakeholder networks]]></category>
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					<description><![CDATA[Bahr, K.S. and Boutilier, R.G. 2019. Poster session entitled, “Social media mining for social license <a href="https://stakeholder360.com/2019/10/24/social-media-mining-for-social-license-estimation-and-issue-detection-using-machine-learning-and-natural-language-processing-techniques/"> Read more&#8230;</a>]]></description>
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<p> Bahr, K.S. and Boutilier, R.G. 2019. Poster session entitled, “Social media mining for social license estimation and issue detection using machine learning and natural language processing techniques.” <em>The Computational Social Science Society of the Americas 10th Anniversary International Conference</em>, Santa Fe, New Mexico. Oct 24 – 27, 2019 </p>
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