Topic modeling and network analysis using BERTopic ... - Medium
Jun 29, 2024 · “BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions.”
model in two ways: dynamically adding on-topic information in the incoming related stories into the initial topic model; dynamically filtering the noise in the topic
Topic Modeling (TM) and Sentiment Analysis (SA) are the most widely utilized methods in PH for detecting issues ’s opinions. In addition, they are utilized for understanding COVID -19 associated problems [12]. Topic models can facilitate search, navigation, and knowledge discovery in massive document compilations [13, 14].
improve the topic modeling results, two topic significance re-ranking methods (Topic Coverage(TC) and Topic Similarity(TS)) are proposed. We conduct our method on both English and Chinese corpus, the experimental results show that the modified LDA_col discovers more meaningful phrases and more understandable topics than LDA and LDA_col.
Public Health Interventions: Applications for Nursing ...
Nov 17, 2023 · Public health intervention model: Impact on Australian community and nursing students’ practice. International Journal of Nursing Education and Scholarship, 7 (1), 1-19. doi:10.2202/1548-923X.1957 Tags
We propose a novel sentiment classifier model called topic co-occurrence matrix (TCOM) and conduct experiments to show that TCOM is an effective model for sentiment classification.
Logic model - MN Dept. of Health
Sep 5, 2023 · A logic model is a map or simple illustration of what you and your organization do, why you do it, what you hope to achieve, and how you will measure achievement. Logic models illustrate how a project, program, or policy is understood or intended to produce particular results.
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