A Deep Learning-Based Sentiment Classification Approach for Detecting Suicidal Ideation on Social Media Posts
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54547-4_21
Reference30 articles.
1. Ji, S., Pan, S., Li, X., Cambria, E., Long, G., Huang, Z.: Suicidal ideation detection: a review of machine learning methods and applications. IEEE Trans. Comput. Soc. Syst. 8(1), 214–226 (2021). https://doi.org/10.1109/TCSS.2020.3021467
2. Nikhileswar, K., Vishal, D., Sphoorthi, L., Fathimabi, S.: Suicide ideation detection in social media forums. In: Proceedings - 2nd International Conference on Smart Electronics and Communication, ICOSEC 2021, pp. 1741–1747 (2021). https://doi.org/10.1109/ICOSEC51865.2021.9591887
3. Bhattacharya, D., Karthick, N.S.H., Shahina, A.: Early detection of suicidal tendencies from text data using LSTM. In: 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021 (2021). https://doi.org/10.1109/i-PACT52855.2021.9696630
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