Results 51 to 60 of about 975,825 (180)
Exploring COVID-19–Related Stressors: Topic Modeling Study
BackgroundThe COVID-19 pandemic has affected the lives of people globally for over 2 years. Changes in lifestyles due to the pandemic may cause psychosocial stressors for individuals and could lead to mental health problems.
Yue Tong Leung, Farzad Khalvati
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A Topic Modeling Approach to Ranking [PDF]
We propose a topic modeling approach to the prediction of preferences in pairwise comparisons. We develop a new generative model for pairwise comparisons that accounts for multiple shared latent rankings that are prevalent in a population of users.
Ding, Weicong +2 more
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Knowledge Source Rankings for Semi-Supervised Topic Modeling
Recent work suggests knowledge sources can be added into the topic modeling process to label topics and improve topic discovery. The knowledge sources typically consist of a collection of human-constructed articles, each describing a topic (article-topic)
Justin Wood, Corey Arnold, Wei Wang
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Getting Started with Topic Modeling and MALLET
In this lesson you will first learn what topic modeling is and why you might want to employ it in your research. You will then learn how to install and work with the MALLET natural language processing toolkit to do so.
Shawn Graham +2 more
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Topic modeling for entity linking using keyphrase [PDF]
This paper proposes an Entity Linking system that applies a topic modeling ranking. We apply a novel approach in order to provide new relevant elements to the model.
Mehdizadeh Naderi, Ali +2 more
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Unsupervised Terminological Ontology Learning based on Hierarchical Topic Modeling
In this paper, we present hierarchical relationbased latent Dirichlet allocation (hrLDA), a data-driven hierarchical topic model for extracting terminological ontologies from a large number of heterogeneous documents.
Bless, Patrick +2 more
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Topic Models with Topic Ordering Regularities for Topic Segmentation [PDF]
Documents from the same domain usually discuss similar topics in a similar order. In this paper we present new ordering-based topic models that use generalised Mallows models to capture this regularity to constrain topic assignments. Specifically, these new models assume that there is a canonical topic ordering shared amongst documents from the same ...
Lan Du, John K. Pate, Mark Johnson
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Past, present, and future of smart learning: a topic-based bibliometric analysis
Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative ...
Xieling Chen +3 more
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Analyzing Geographic Questions Using Embedding-based Topic Modeling
Recently, open-domain question-answering systems have achieved tremendous progress because of developments in large language models (LLMs), and have successfully been applied to question-answering (QA) systems, or Chatbots. However, there has been little
Jonghyeon Yang, Hanme Jang, Kiyun Yu
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Integrating Document Clustering and Topic Modeling [PDF]
Document clustering and topic modeling are two closely related tasks which can mutually benefit each other. Topic modeling can project documents into a topic space which facilitates effective document clustering.
Xie, Pengtao, Xing, Eric P.
core

