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dc.contributor.author Yatapala, KDYHT
dc.contributor.author Kumara, BTGS
dc.contributor.editor Ganegoda, GU
dc.contributor.editor Mahadewa, KT
dc.date.accessioned 2022-11-10T03:16:03Z
dc.date.available 2022-11-10T03:16:03Z
dc.date.issued 2021-12
dc.identifier.citation K. Y. D. H. T. Yatapala and B. T. G. S. Kumara, "Detection of Suicide Ideation in Twitter using ANN," 2021 6th International Conference on Information Technology Research (ICITR), 2021, pp. 1-5, doi: 10.1109/ICITR54349.2021.9657404. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19457
dc.description.abstract Suicide is considered one of the leading problems in the present. Detecting suicide earlier and providing a solution is considered the most successful way to suicide ideation and suicide attempts prevention. At present, online communication channels are used to express the suicidal tendencies of some people. This paper presents a machine learning approach to identify suicide pattern and detect suicide ideation or thoughts by considering online user-generated content with the aim of suicide ideation detection. People who have suicidal ideations, express strong negative feelings. Here, an Artificial Neural Network is used as a machine learning algorithm. To detect ideations of suicide, we generate feature vectors using different techniques including Word2Vec, Doc2Vec, and TF-IDF features. As the online user communication channel, we select Twitter. en_US
dc.language.iso en en_US
dc.publisher Faculty of Information Technology, University of Moratuwa. en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9657404 en_US
dc.subject Suicide ideation en_US
dc.subject Data mining en_US
dc.subject Neural network en_US
dc.subject Twitter en_US
dc.subject Word2Vec en_US
dc.title Detection of suicide ideation in twitter using ann en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2021 en_US
dc.identifier.conference 6th International Conference in Information Technology Research 2021 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.proceeding Proceedings of the 6th International Conference in Information Technology Research 2021 en_US
dc.identifier.doi doi: 10.1109/ICITR54349.2021.9657404 en_US


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  • ICITR - 2021 [39]
    International Conference on Information Technology Research (ICITR)

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