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                <identifier>oai:data.mendeley.com/ft69jmsnbc.1</identifier>
                <datestamp>2025-12-08T12:21:43Z</datestamp>
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    <dc:creator>Mumu, Rabeya</dc:creator>
    <dc:title>Obhibekti: A Multisource Benchmark Corpus for Bengali Emotion Classification</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The Obhibekti dataset consists of 3,928 Bengali texts collected from reliable and diverse sources such as online forums, news websites, and social media platforms like Facebook. The dataset was developed to represent six core human emotions: happiness, sadness, anger, fear, disgust, and surprise.

The distribution of the six emotion categories is as follows:
Happy 650
Sad: 650
Surprise: 650
Disgust: 650
Fear: 657
Anger: 674
</dc:description>
    <dc:subject>Natural Language Processing</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Bangladesh</dc:subject>
    <dc:subject>Deep Learning</dc:subject>
    <dc:contributor>Hossain, Tashfia</dc:contributor>
    <dc:contributor>Saha, Oindrila </dc:contributor>
    <dc:contributor>Alam, Morshed</dc:contributor>
    <dc:contributor>Hasan, Shabnam </dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/ft69jmsnbc.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/ft69jmsnbc.1</dc:identifier>
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    <dc:date>2025-12-08T12:21:43Z</dc:date>
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