Results 31 to 40 of about 1,143,739 (216)
The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling
In the era of big data and ubiquitous internet connectivity, user feedback data plays a crucial role in product development and improvement. However, extracting valuable insights from the vast pool of unstructured text data found in user feedback ...
Mohammad Hamid Asnawi+3 more
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Modeling the evolution of development topics using Dynamic Topic Models [PDF]
As the development of a software project progresses, its complexity grows accordingly, making it difficult to understand and maintain. During software maintenance and evolution, software developers and stakeholders constantly shift their focus between different tasks and topics.
HU, Jianjun+3 more
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A correlated topic model of Science [PDF]
Topic models, such as latent Dirichlet allocation (LDA), can be useful tools for the statistical analysis of document collections and other discrete data. The LDA model assumes that the words of each document arise from a mixture of topics, each of which is a distribution over the vocabulary.
Blei, David M., Lafferty, John D.
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This paper presents a new topic modelling framework inspired by game theoretic principles. It is formulated as a normal form game in which words are represented as players and topics as strategies that the players select. The strategies of each player are modelled with a probability distribution guided by a utility function that the players try to ...
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Multilingual Dynamic Topic Model
Dynamic topic models (DTMs) capture the evolution of topics and trends in time series data. Current DTMs are applicable only to monolingual datasets. In this paper we present the multilingual dynamic topic model (ML-DTM), a novel topic model that combines DTM with an existing multilingual topic modeling method to capture crosslingual topics that evolve
Zosa, Elaine, Granroth-Wilding, Mark
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The Men’s Rights Activism (MRA) movement and its sub-movement The Red Pill (TRP), has flourished online, offering support and advice to men who feel their masculinity is being challenged by societal shifts.
J. B. Mountford
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Hierarchical Topic Presence Models [PDF]
Topic models analyze text from a set of documents. Documents are modeled as a mixture of topics, with topics defined as probability distributions on words. Inferences of interest include the most probable topics and characterization of a topic by inspecting the topic's highest probability words.
arxiv
Efficient Correlated Topic Modeling with Topic Embedding [PDF]
KDD 2017 oral.
Zhiting Hu+4 more
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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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Effective Neural Topic Modeling with Embedding Clustering Regularization [PDF]
Topic models have been prevalent for decades with various applications. However, existing topic models commonly suffer from the notorious topic collapsing: discovered topics semantically collapse towards each other, leading to highly repetitive topics, insufficient topic discovery, and damaged model interpretability.
arxiv