[HTML][HTML] Evaluating the performance of topic modeling techniques with human validation to support qualitative analysis
Examining the effectiveness of machine learning techniques in analyzing engineering
students' decision-making processes through topic modeling during simulation-based …
students' decision-making processes through topic modeling during simulation-based …
The global patent landscape of artificial intelligence applications for cancer
The global patent landscape of artificial intelligence applications for cancer | Nature
Biotechnology Skip to main content Thank you for visiting nature.com. You are using a …
Biotechnology Skip to main content Thank you for visiting nature.com. You are using a …
Alternative Dispute Resolution Research Landscape from 1981 to 2022
Alternative dispute resolution (ADR) is an important means of resolving disputes outside of
traditional legal frameworks. It is usually adopted because of its flexibility, cost-effectiveness …
traditional legal frameworks. It is usually adopted because of its flexibility, cost-effectiveness …
A Statistical Approach for Quantifying Group Difference in Topic Distributions Using Clinical Discourse Samples
Topic distribution matrices created by topic models are typically used for document
classification or as features in a separate machine learning algorithm. Existing methods for …
classification or as features in a separate machine learning algorithm. Existing methods for …
Assessing the needs of patients with breast cancer and their families across various treatment phases using a Latent Dirichlet Allocation model: a text-mining …
C Da, Y Duan, Z Ji, J Chen, H **a, Y Weng… - Supportive Care in …, 2024 - Springer
Purpose This study aimed to assess the different needs of patients with breast cancer and
their families in online health communities at different treatment phases using a Latent …
their families in online health communities at different treatment phases using a Latent …
Using machine learning and topic modeling to examine manifestos of violent attackers.
VG Petreca, AA Burgess, J Wise… - Journal of Threat …, 2024 - psycnet.apa.org
This study is a linguistic analysis of 23 published manifestos written by violent offenders who
committed or threatened a targeted attack. The acts of violence were primarily motivated by …
committed or threatened a targeted attack. The acts of violence were primarily motivated by …
Misinformation Features Detection in Weibo: Unsupervised Learning, Latent Dirichlet Allocation, and Network Structure
This study employs an unsupervised learning technique to identify features of
misinformation on Weibo, a popular social media platform in China. By utilizing BERT …
misinformation on Weibo, a popular social media platform in China. By utilizing BERT …
Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook
Mental health constitutes a complex and pervasive global challenge, affecting millions of
lives and often leading to severe consequences. In this paper, we conduct a thorough …
lives and often leading to severe consequences. In this paper, we conduct a thorough …
[PDF][PDF] 21 世紀のアメリカにおける公共図書館政策と実態: ニューヨーク公共図書館の事例分析
山岸素子, ヤマギシモトコ - 2023 - tsukuba.repo.nii.ac.jp
情報技術の進展により人々の生活や価値観が大きく変化した現代では, 人々の間で様々な格差が
生じ, 社会的分断が複雑かつ深刻化している. 誰もが無料で利用できる公共図書館は …
生じ, 社会的分断が複雑かつ深刻化している. 誰もが無料で利用できる公共図書館は …
Reducing Human Effort in Keyphrase-Based Human-in-the-Loop Topic Models: A Method for Keyphrase Recommendations
Human-in-the-loop topic modeling (HLTM) empowers users to modify topic models and
enhance their quality, by enabling them to directly refine the model. Prior studies have made …
enhance their quality, by enabling them to directly refine the model. Prior studies have made …