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<oembed><version>1.0</version><provider_name>Cognition Conferences</provider_name><provider_url>https://cognitionconferences.com/optics</provider_url><author_name>Cognition Conferences</author_name><author_url>https://cognitionconferences.com/optics/author/cogn-3012/</author_url><title>Shakhawan Aghajan | Sulaimani Polytechnic University | Iraq</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="e5ivHtMBUx"&gt;&lt;a href="https://cognitionconferences.com/optics/speaker/shakhawan-aghajan/"&gt;Shakhawan Aghajan&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://cognitionconferences.com/optics/speaker/shakhawan-aghajan/embed/#?secret=e5ivHtMBUx" width="600" height="338" title="&#x201C;Shakhawan Aghajan&#x201D; &#x2014; Cognition Conferences" data-secret="e5ivHtMBUx" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><thumbnail_url>https://cognitionconferences.com/optics/wp-content/uploads/2026/02/Shakhawan-Aghajan.png</thumbnail_url><thumbnail_width>500</thumbnail_width><thumbnail_height>600</thumbnail_height><description>I&#x2019;m a researcher specializing in NLP for low-resource languages, with a primary focus on the Kurdish Sorani dialect. He is the creator of the KuSarcasm dataset, formally titled &#x201C;KuSarcasm: Automated Kurdish Sorani Sarcasm Dataset (KSSD),&#x201D; which represents the first large-scale sarcasm resource for Kurdish. He is also the author of the research paper &#x201C;KuSarcasm: Automated Annotation of a Sarcasm Dataset Using Hybrid NLP Techniques.&#x201D; His ongoing peer-reviewed project, titled &#x201C;Design and Implementation of a Sarcasm Detection System for the Kurdish Language Using Natural Language Processing Techniques,&#x201D; is currently ready for academic discussion. His research interests include sarcasm detection, sentiment analysis, and transformer-based language models for underrepresented languages.</description></oembed>
