Author:
Naseem Usman,Thapa Surendrabikram,Zhang Qi,Hu Liang,Rashid Junaid,Nasim Mehwish
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Reference51 articles.
1. Adhikari S, Thapa S, Singh P, Huo H, Bharathy G, Prasad M (2021) A comparative study of machine learning and nlp techniques for uses of stop words by patients in diagnosis of Alzheimer’s disease. In: 2021 International joint conference on neural networks (IJCNN). IEEE, pp 1–8
2. Adhikari S, Thapa S, Naseem U, Singh P, Huo H, Bharathy G, Prasad M (2022) Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer’s disease using natural language processing and machine learning techniques. Int J Hum–Comput Stud 160:102761
3. Aduragba OT, Yu J, Cristea AI, Shi L (2021) Detecting fine-grained emotions on social media during major disease outbreaks: health and well-being before and during the Covid-19 pandemic. In: AMIA annual symposium proceedings, vol 2021. American Medical Informatics Association, p 187
4. Aguilera J, Farías DIH, Montes-y-Gómez M, González LC (2021) Detecting traces of self-harm in social media: a simple and interpretable approach. In: Mexican international conference on artificial intelligence. Springer, Berlin, pp 196–207
5. Aragón ME, López-Monroy AP, Montes-y-Gómez M (2019) Inaoe-cimat at erisk 2019: detecting signs of anorexia using fine-grained emotions. In: CLEF (working notes)
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