Results 101 to 110 of about 810,432 (208)
Joint Model Feature Regression and Topic Learning for Global Citation Recommendation
Citation recommendation has gained increasing attention in recent years. In practice, researchers usually prefer to cite the most topic-relevant articles.
Tao Dai +5 more
doaj +1 more source
Topic-Keyword data output by the BERTopic model.
This study aims to enhance governmental decision-making by leveraging advanced topic modeling algorithms to analyze public letters on the "People Call Me" online government inquiry platform in Zhejiang Province, China.
Zhouyi Gu (17972850) +2 more
core +1 more source
Exploring the identification of peer circles (or communities) with shared attributes in educational settings provides valuable insights for categorizing instructors’ teaching styles and methodologies.
Yuhe Zhu
doaj +1 more source
A Biterm Topic Model for Sparse Mutation Data. [PDF]
Sason I +3 more
europepmc +1 more source
Using a topic model to map and analyze a large curriculum. [PDF]
Takizawa PA.
europepmc +1 more source
Robust Unsupervised Topic-Based Language Model Adaptation
本論文的主要貢獻在於提出一個基於主題分析的語言模型調適法,這個方法主要是使用潛藏狄式配置(Latent Dirichlet Allocation, LDA)。我們使用機率式潛藏語意分析(Probabilistic Latent Semantic Analysis, PLSA)自動地把一個具有不同性質的文字語料加以聚成許多個潛藏主題,然後用這些結果當作我們LDA模型的初始化模型。我們用最後的LDA模型一句一句地建造主題式的文字語料,這些主題式語料則用來估計主題式的語言模型。當我們用語言模型調適進行N ...
Heidel, Aaron, 何恩
core
Using an explicit query and a topic model for scientific article recommendation. [PDF]
Smail B, Aliane H, Abdeldjalil O.
europepmc +1 more source
Finding semantically valid and relevant topics by association-based topic selection model
Topic modelling methods such as Latent Dirichlet Allocation (LDA) have been successfully applied to various fields, since these methods can effectively characterize document collections by using a mixture of semantically rich topics.
Lau, Raymond +9 more
core +1 more source
Quality indices for topic model selection and evaluation: a literature review and case study. [PDF]
Meaney C +5 more
europepmc +1 more source
Topic Segmentation with an Ordering-Based Topic Model
Documents from the same domain usually discuss similar topics in a similar order. However, the number of topics and the exact topics discussed in each individual document can vary.
Johnson, Mark, Pate, John, Du, Lan
core +1 more source

