Tau Ming Liew
Biographic Data
| ID | 2026110 |
|---|---|
| NAME | Tau Ming Liew |
| GIVEN NAMES | Tau Ming |
| FAMILY NAME | Liew |
| SIGNATURE | LIEW T M |
| AFFILIATIONS | National University of Singapore |
| ORCID | 0000-0003-1555-7752 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Piecing together the narrative of #longcovid
Objective: To characterize the public conversations around long COVID, as expressed through X (formerly Twitter) posts from May 2020 to April 2023. Methods: Using X as the data source, we extracted tweets containing #long-covid, #long_covid, or "long covid," posted from May 2020 to April 2023. We then conducted an unsupervised deep learning analysis using Bidirectional Encoder Representations from Transformers (BERT). This method allowed us to pr…
Hype or hope? Ketamine for the treatment of depression
In summary, the public's multifaceted perception leans towards a hopeful stance on ketamine's therapeutic potential for depression
Examining the non-linear effects of education on Alzheimer's and non-Alzheimer's disease
Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination
Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are seeing new heights of vaccine hesitancy or refusal, and are experiencing a resurgence of measles infections as a consequence. With the use of novel machine learning tools, we investigated the prevailing negative sentiments related to Measles vaccination through an analysis of public Twitter posts over a 5-year period. We extracted original tweets using the …
Public Discourse Surrounding Suicide during the Covid-19 Pandemic
Many studies have forewarned the profound emotional and psychosocial impact of the protracted COVID-19 pandemic. This study thus aimed to examine how individuals relate to suicide amid the COVID-19 pandemic from a global perspective via the public Twitter discourse around suicide and COVID-19. Original Twitter tweets from 1 February 2020 to 10 February 2021 were searched, with terms related to "COVID-19", "suicide", or "self-harm". An unsupervise…
Public Discourse Surrounding Suicide during the Covid-19 Pandemic
Many studies have forewarned the profound emotional and psychosocial impact of the protracted COVID-19 pandemic. This study thus aimed to examine how individuals relate to suicide amid the COVID-19 pandemic from a global perspective via the public Twitter discourse around suicide and COVID-19. Original Twitter tweets from 1 February 2020 to 10 February 2021 were searched, with terms related to "COVID-19", "suicide", or "self-harm". An unsupervise…
Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination
Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are seeing new heights of vaccine hesitancy or refusal, and are experiencing a resurgence of measles infections as a consequence. With the use of novel machine learning tools, we investigated the prevailing negative sentiments related to Measles vaccination through an analysis of public Twitter posts over a 5-year period. We extracted original tweets using the …
Piecing together the narrative of #longcovid
Objective: To characterize the public conversations around long COVID, as expressed through X (formerly Twitter) posts from May 2020 to April 2023. Methods: Using X as the data source, we extracted tweets containing #long-covid, #long_covid, or "long covid," posted from May 2020 to April 2023. We then conducted an unsupervised deep learning analysis using Bidirectional Encoder Representations from Transformers (BERT). This method allowed us to pr…
Hype or hope? Ketamine for the treatment of depression
In summary, the public's multifaceted perception leans towards a hopeful stance on ketamine's therapeutic potential for depression
Examining the non-linear effects of education on Alzheimer's and non-Alzheimer's disease
Psychology (5 works) · Medicine (4 works) · Computer Science (3 works) · Misinformation and Its Impacts (3 works) · Qualitative research (3 works) · Social science (3 works) · Sociology (3 works) · Thematic analysis (3 works) · Disease (2 works) · Psychiatry (2 works)