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		<title>Retrieval-Powered AI Framework Turns Customer Reviews Into Actionable Market Insight</title>
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		<pubDate>Wed, 07 Oct 2026 08:04:34 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[BERT]]></category>
		<category><![CDATA[customer review analysis]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[information retrieval]]></category>
		<category><![CDATA[Korean language reviews]]></category>
		<category><![CDATA[masked language modeling]]></category>
		<category><![CDATA[Natural Language Processing]]></category>
		<category><![CDATA[nonparametric machine learning]]></category>
		<category><![CDATA[retrieval-based framework]]></category>
		<category><![CDATA[sentiment analysis]]></category>
		<category><![CDATA[SimCSE]]></category>
		<category><![CDATA[text clustering]]></category>
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					<description><![CDATA[Researchers in South Korea have developed RECUR, a retrieval-based framework using nonparametric masked language modeling that outperforms conventional methods in clustering and retrieving customer reviews to extract actionable market insights.]]></description>
		
		
		
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