Suicidal Idea Detection on Twitter

Keywords: Suicide, suicidal thoughts, natural language processing

Abstract

Sentiment analysis is a new trend' nowadays to understand how people' feel in different situations of their daily life. Social network data is used during the whole process of analysis and' classification, which consists of text data. Using social networks, the emotional level can be monitored or analyzed. In this research work we will classify data from social networks such as twitter regarding suicide and classify it as: active suicidal thinking, passive suicidal thinking, sarcasm related to suicidal thinking, tweets related to suicide (suicide awareness, news, suicide talk) and others.

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References

Rabani, S. T., Khan, Q. R., & Khanday, A. M. U. D. (2020). Detection of suicidal ideation on Twitter using machine learning & ensemble approaches. Baghdad Science Journal, 17(4), 1328-1339.

M. J. Vioulès, B. Moulahi, J. Azé and S. Bringay, (2018). Detection of suicide-related posts in Twitter data streams. IBM Journal of Research and Development, vol. 62, no. 1, pp. 7:1-7:12, 1 Jan.-Feb. 2018, doi: 10.1147/JRD.2017.2768678.

Sawhney, R., Manchanda, P., Mathur, P., Shah, R., & Singh, R. (2018, October). Exploring and learning suicidal ideation connotations on social media with deep learning. In Proceedings of the 9th workshop on computational approaches to subjectivity, sentiment and social media analysis (pp. 167-175).

Zhang, T., Schoene, A. M., Ji, S., & Ananiadou, S. (2022). Natural language processing applied to mental illness detection: a narrative review. NPJ digital medicine, 5(1), 46.

Otter, D. W., Medina, J. R., & Kalita, J. K. (2020). A survey of the usages of deep learning for natural language processing. IEEE transactions on neural networks and learning systems, 32(2), 604-624.

Lech, N. (2008). Suicidal ideation on Twitter. [Database]. href{https://www.kaggle.com/datasets/natalialech/suicidal-ideation-on-twitter}{https://www.kaggle.com/datasets/natalialech/suicidal-ideation-on-twitter}

Rabani, S. T., Khan, Q. R., & Khanday, A. M. U. D. (2020). Detection of suicidal ideation on Twitter using machine learning & ensemble approaches. Baghdad Science Journal, 17(4), 1328-1339.

Coco C. C., Joel A. P., Carlos S. Francklin C. H., Waldir P. H. (2022). Suicidios en el Perú: Descripción epidemiológica a través del Sistema Informático Nacional de Defunciones (SINADEF) en el periodo 2017-2021.

Received: 2023-05-02
Accepted: 2023-08-02
Published: 2023-09-30
How to Cite
[1]
J. Berrios Butron, D. B. López Franco, and D. R. Tarraga Usca, “Suicidal Idea Detection on Twitter”, Innov. softw., vol. 4, no. 2, pp. 107-120, Sep. 2023.
Section
Journal papers