A topic modeling comparison between lda, nmf, top2vec, and bertopic to demystify twitter posts
The richness of social media data has opened a new avenue for social science research to
gain insights into human behaviors and experiences. In particular, emerging data-driven …
gain insights into human behaviors and experiences. In particular, emerging data-driven …
Media coverage and public perception of distance learning during the COVID-19 pandemic: a topic modeling approach based on BERTopic
The current study proposes a topic modeling approach for analyzing press coverage and
public perception of distance learning during the COVID-19 pandemic. We evaluate the …
public perception of distance learning during the COVID-19 pandemic. We evaluate the …
Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India
Introduction The utilization of social media presents a promising avenue for the prevention
and management of diabetes. To effectively cater to the diabetes-related knowledge …
and management of diabetes. To effectively cater to the diabetes-related knowledge …
Analysing longitudinal social science questionnaires: topic modelling with BERT-based embeddings
V Sharifian-Attar, S De, S Jabbari, J Li… - … conference on big …, 2022 - ieeexplore.ieee.org
Unsupervised topic modelling is a useful unbiased mechanism for topic labelling of complex
longitudinal questionnaires covering multiple domains such as social science and medicine …
longitudinal questionnaires covering multiple domains such as social science and medicine …
Topic modeling insomnia social media corpus using BERTopic and building automatic deep learning classification model
YS Ko, S Lee, M Cha, S Kim, J Lee… - Journal of the Korean …, 2022 - koreascience.kr
Insomnia is a chronic disease in modern society, with the number of new patients increasing
by more than 20% in the last 5 years. Insomnia is a serious disease that requires diagnosis …
by more than 20% in the last 5 years. Insomnia is a serious disease that requires diagnosis …
Topic modelling: Going beyond token outputs
Topic modelling is a text mining technique for identifying salient themes from a number of
documents. The output is commonly a set of topics consisting of isolated tokens that often co …
documents. The output is commonly a set of topics consisting of isolated tokens that often co …
Exploring influencing factors of health resilience for urban buildings by integrated CHATGPT-empowered BERTopic model: A case study of Hong Kong
Enhancing building health resilience (BHR) is a crucial pathway to mitigate people's health
loss under natural or manmade disturbances. However, as BHR is quite a new concept …
loss under natural or manmade disturbances. However, as BHR is quite a new concept …
Discovering patterns and trends in customer service technologies patents using large language model
C Kim, J Lee - Heliyon, 2024 - cell.com
The definition of service has evolved from a focus on material value in manufacturing before
the 2000s to a customer-centric value based on the significant growth of the service industry …
the 2000s to a customer-centric value based on the significant growth of the service industry …
Unveiling the Potential of BERTopic for Multilingual Fake News Analysis--Use Case: Covid-19
K Schäfer, JE Choi, I Vogel, M Steinebach - arxiv preprint arxiv …, 2024 - arxiv.org
Topic modeling is frequently being used for analysing large text corpora such as news
articles or social media data. BERTopic, consisting of sentence embedding, dimension …
articles or social media data. BERTopic, consisting of sentence embedding, dimension …
[HTML][HTML] Obesity-related discourse on Facebook and Instagram throughout the COVID-19 pandemic: comparative longitudinal evaluation
Background COVID-19 severity is amplified among individuals with obesity, which may have
influenced mainstream media coverage of the disease by both improving understanding of …
influenced mainstream media coverage of the disease by both improving understanding of …