Results 41 to 50 of about 5,406 (194)
Exploring Topic Coherence With PCC-LDA and BERT for Contextual Word Generation
In the field of natural language processing (NLP), topic modeling and word generation are crucial for comprehending and producing texts that resemble human languages.
Sandeep Kumar Rachamadugu +3 more
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Web API is a popular way to organize network services in cloud computing environment. However, it is a challenge to find an appropriate service for the requestor from massive Web API services.
Jiaji Shen, Wen Huang, Qiang Hu
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ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia +1 more
wiley +1 more source
Dirichlet process mixture models for single-cell RNA-seq clustering
Clustering of cells based on gene expression is one of the major steps in single-cell RNA-sequencing (scRNA-seq) data analysis. One key challenge in cluster analysis is the unknown number of clusters and, for this issue, there is still no comprehensive ...
Nigatu A. Adossa +2 more
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ABSTRACT Corporate environmental communication has become an essential aspect of modern business practices, as stakeholders increasingly demand transparency and accountability regarding sustainability efforts. Within this context, we examine whether firms use environmental communication on X/Twitter to offset weaker relative environmental performance ...
Ivan Russo +3 more
wiley +1 more source
Analysis of US Airline Stock Performance using Latent Dirichlet Allocation (LDA)
Abstract From changes in the interest rate to the hijacking of a commercial aircraft, there are many events that may result in a fluctuation in airline stock performance. Theimpact of US airlines’ stock performance was measured following aviation related news announcements on differing topics.
Amina Issoufou Anaroua +2 more
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ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham +2 more
wiley +1 more source
Topic model for graph mining based on hierarchical Dirichlet process
In this paper, a nonparametric Bayesian graph topic model (GTM) based on hierarchical Dirichlet process (HDP) is proposed. The HDP makes the number of topics selected flexibly, which breaks the limitation that the number of topics need to be given in ...
Haibin Zhang, Shang Huating, Xianyi Wu
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User–Topic Modeling for Online Community Analysis
Analyzing user behavior in online spaces is an important task. This paper is dedicated to analyzing the online community in terms of topics. We present a user–topic model based on the latent Dirichlet allocation (LDA), as an application of topic modeling
Sung-Hwan Kim, Hwan-Gue Cho
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Topical Text Network Construction Method Based on Gibbs Sampling Results [PDF]
Mining the probability distribution of topic words in document collection can make a summary understanding of the document content.Further exploring the connection relationship between words in a given topic not only riches the meaning of topic words,but
ZHANG Zhiyuan,YANG Hongjing,ZHAO Yue
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