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Effect of Psychometric Features in Classification of Informal Text

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dc.contributor.author Miah, Md. Waliur Rahman
dc.contributor.author Khatun, Mst. Sumaya
dc.contributor.author Shaikh, Amina
dc.contributor.author Islam, Md. Jakirul
dc.contributor.author Akhtar, Md. Nasim
dc.contributor.author Uddin, Md. Jamal
dc.date.accessioned 2020-06-09T05:22:43Z
dc.date.available 2020-06-09T05:22:43Z
dc.date.issued 2020-01
dc.identifier.issn 1818-5878
dc.identifier.issn 2408-8498
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3944
dc.description.abstract The anti-social behaviours in online social media follow some documented psychological trends. Informal texts used to perpetrate the anti-social act contain information of the psychological trends. That information can be useful in the task of identifying an offensive text in the social media. In this regard, we used psychometric information as a feature-set in conventional classifiers for the classification task of informal texts used in online social-media. In this paper, we investigated whether this has any positive effect on the performance of those classifiers. The results of our experiments show some promising outcomes. It appears that the psychometric information enriched the data set, which improved the performance of some classifiers in the classification of online informal text. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Data mining en_US
dc.subject Classifiers en_US
dc.title Effect of Psychometric Features in Classification of Informal Text en_US
dc.type Article en_US

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