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	<title>text classification &#8211; BIOENGINEER.ORG</title>
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		<title>Boosting Sentiment Analysis with Data Augmentation Techniques</title>
		<link>https://bioengineer.org/boosting-sentiment-analysis-with-data-augmentation-techniques/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sun, 18 Jan 2026 11:46:49 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[data augmentation]]></category>
		<category><![CDATA[küçük veri setleri]]></category>
		<category><![CDATA[metin sınıflandırma** * **duygu analizi:** İçeriğin ana konusu. * **veri çoğaltma:** Makalede öne çıkan temel i]]></category>
		<category><![CDATA[sentiment analysis]]></category>
		<category><![CDATA[small datasets]]></category>
		<category><![CDATA[text classification]]></category>
		<category><![CDATA[Transfer Learning]]></category>
		<category><![CDATA[transfer öğrenimi]]></category>
		<category><![CDATA[veri çoğaltma]]></category>
		<category><![CDATA[Verilen içeriğe göre en uygun 5 Türkçe etiket: **duygu analizi]]></category>
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					<description><![CDATA[In the ever-evolving landscape of artificial intelligence and machine learning, researchers continuously seek innovative methods to enhance classification tasks, particularly in the realm of sentiment analysis. This field is crucial for businesses, social media platforms, and researchers aiming to understand public opinion and consumer behavior. A recent study by Mayaleh and Mayaleh sheds light on [&#8230;]]]></description>
		
		
		
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