Sentiment analysis and text analysis of the public discourse on Twitter about COVID-19 and MPox

N Thakur - Big Data and Cognitive Computing, 2023 - mdpi.com
Mining and analysis of the big data of Twitter conversations have been of significant interest
to the scientific community in the fields of healthcare, epidemiology, big data, data science …

An exploratory study of tweets about the SARS-CoV-2 Omicron variant: Insights from sentiment analysis, language interpretation, source tracking, type classification …

N Thakur, CY Han - COVID, 2022 - mdpi.com
This paper presents the findings of an exploratory study on the continuously generating Big
Data on Twitter related to the sharing of information, news, views, opinions, ideas …

Unveiling the Diagnostic Potential of Linguistic Markers in Identifying Individuals with Parkinson's Disease through Artificial Intelligence: A Systematic Review

C Palmirotta, S Aresta, P Battista, S Tagliente… - Brain Sciences, 2024 - mdpi.com
While extensive research has documented the cognitive changes associated with
Parkinson's disease (PD), a relatively small portion of the empirical literature investigated …

The impact of clinical scales in Parkinson's disease: a systematic review

N Aggarwal, BS Saini, S Gupta - The Egyptian Journal of Neurology …, 2021 - Springer
Background Parkinson's disease is one of the non-curable diseases and occurs by the
prominent loss of neurotransmitter (dopamine) in substantia nigra pars compacta (SNpc) …

Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets

N Thakur, YN Duggal, Z Liu - Computers, 2023 - mdpi.com
In the last decade and a half, the world has experienced outbreaks of a range of viruses
such as COVID-19, H1N1, flu, Ebola, Zika virus, Middle East Respiratory Syndrome (MERS) …

Machine learning and deep learning models for diagnosis of parkinson's disease: a performance analysis

P Mounika, SG Rao - 2021 Fifth International Conference on I …, 2021 - ieeexplore.ieee.org
Parkinson's disease (PD) is a complex condition that is characterized by restricted mobility.
Symptoms begin gradually, with only one hand exhibiting a minor tremor on occasion. Also …

Parkinson's disease diagnosis using a combined deep learning approach

M Sivakumar, AH Christinal… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Parkinson's disease, which often affects the elderly, is one of the most dangerous
neurodegenerative disorders. The prime characteristics observed in people with this …

Early Detection of Parkinson's Disease from Hand Drawings Using CNN and LSTM

S Biswas, N Kaur, KR Seeja - 2022 4th International …, 2022 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a neural disorder that can affect your ability to regulate
movements. The disease usually starts slowly at early stages and gets worse as time …

Derin öğrenme yöntemleri ve kelime yerleştirme modelleri kullanılarak Parkinson hastalığının duygu analiziyle değerlendirilmesi

F Cevik, ZH Kilimci - Pamukkale Üniversitesi Mühendislik Bilimleri …, 2020 - dergipark.org.tr
Parkinson hastalığı, hastanın yaşam kalitesini etkileyen, önemli sosyal ve ekonomik etkileri
olan ve semptomların aşamalı görünümü nedeniyle erken teşhis edilmesi güç olan yaygın …

A study on deep learning and machine learning techniques on detection of Parkinson's disease

P Mounika, SG Rao - E3S Web of Conferences, 2021 - e3s-conferences.org
Parkinson's disease (PD) is a sophisticated anxiety malady that impairs movement.
Symptoms emerge gradually, initiating with a slight tremor in only one hand occasionally …