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 |