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Psychopathy Prediction and Factorial Classification on Twitter Profiles

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dc.contributor.author Gunasekara, Pavith Buddhima
dc.contributor.author Senaratne, Charitha
dc.date.accessioned 2020-05-24T07:26:30Z
dc.date.available 2020-05-24T07:26:30Z
dc.date.issued 2019
dc.identifier.citation Gunasekara, P B and Senaratne, C (2019) ’Psychopathy Prediction and Factorial Classification on Twitter Profiles’ In: 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), Pune, India. 29-31 March 2019. pp. 1 -3 IEEE DOI: 10.1109/I2CT45611.2019.9033560 en_US
dc.identifier.uri https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9033560
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/408
dc.description.abstract There are different people with different personalities who interact on social media, there can be people with personality disorder and psychopaths. Human Language which created throughout communication may be representative of personality characteristic, further as emotional conditions, distinguishing features, and psychological feature vogue and words are the traces which we leave ourselves behind [1]. Language becomes a key factor in identifying personal personalities. Many researchers analyzed the link between psychopathic personality and language, also psychopathic tendencies are being derived by the communication patterns [2]. Psychopathy is also a subpart of the "Dark Triad" [3], a set of traits with a negative personality. en_US
dc.subject Psychopathy en_US
dc.subject Twitter en_US
dc.subject Analytical models en_US
dc.subject Linguistics en_US
dc.subject Machine Learning en_US
dc.title Psychopathy Prediction and Factorial Classification on Twitter Profiles en_US
dc.type Article en_US


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