Abstract
Suicide can be said as an act of taking one’s own life voluntarily and intentionally. Suicide can be prevented by identifying the condition of the person whether there are any suicidal tendencies and then by reporting it to the dearer or next to the kin. Detection of suicide ideation/tendencies or depression of a person is done by using their speech and text from different languages with the help of natural language processing and machine learning techniques and data retrieved from health apps. Reported to emergency contacts by using an alert system in the form of email, call, SMS, and speech. This text is used to identify suicidal tendencies which can be of any language, and that text is translated using Google Translator to English. In email and SMS, geolocation is emailed as an attachment.
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Achary, R., Shelke, C.J., Shrivastava, V.K., Paul, P.M., Konda, S., Billa, M. (2024). Depression Detection Based on NLP and ML Techniques Using Text and Speech Recognition. In: Lanka, S., Sarasa-Cabezuelo, A., Tugui, A. (eds) Trends in Sustainable Computing and Machine Intelligence. ICTSM 2023. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-9436-6_25
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DOI: https://doi.org/10.1007/978-981-99-9436-6_25
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