Results 31 to 40 of about 1,143,739 (216)

The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling

open access: yesIEEE Access, 2023
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
doaj   +1 more source

Modeling the evolution of development topics using Dynamic Topic Models [PDF]

open access: yes2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2015
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
openaire   +3 more sources

A correlated topic model of Science [PDF]

open access: yesThe Annals of Applied Statistics, 2007
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.
openaire   +4 more sources

Topic Modelling Games [PDF]

open access: yes, 2020
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 ...
openaire   +3 more sources

Multilingual Dynamic Topic Model

open access: yesProceedings - Natural Language Processing in a Deep Learning World, 2019
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
openaire   +4 more sources

Topic Modeling The Red Pill

open access: yesSocial Sciences, 2018
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
doaj   +1 more source

Hierarchical Topic Presence Models [PDF]

open access: yesarXiv, 2021
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]

open access: yesProceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017
KDD 2017 oral.
Zhiting Hu   +4 more
openaire   +3 more sources

Past, present, and future of smart learning: a topic-based bibliometric analysis

open access: yesInternational Journal of Educational Technology in Higher Education, 2021
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
doaj   +1 more source

Effective Neural Topic Modeling with Embedding Clustering Regularization [PDF]

open access: yesarXiv, 2023
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  

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