Results 31 to 40 of about 1,022,373 (272)

Topic modelling and emotion analysis of the tweets of British and American politicians on the topic of war in Ukraine

open access: yesEast European Journal of Psycholinguistics, 2022
This paper focuses on the content and emotive features of four politicians' posts that were published on their official Twitter accounts during the three-month period of the russian invasion of Ukraine. We selected two British politicians – Boris Johnson,
Olena Karpina, Justin Chen
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 Topic Modelling Analysis of Living Labs Research

open access: yesTechnology Innovation Management Review, 2018
This study applies topic modelling analysis on a corpus of 86 publications in the Technology Innovation Management Review (TIM Review) to understand how the phenomenon of living labs has been approached in the recent innovation management literature ...
Mika Westerlund   +2 more
doaj   +1 more source

Developing Institutions and Inter-Organizational Synergies through Digitalization and Youth Engagement in African Agriculture: The Case of “Africa Goes Digital”

open access: yesLand, 2023
As digitalization increasingly gains attention in the agriculture sector, many African youths are seizing the opportunity provided by digital technologies to engage in agriculture.
Matthew Ayamga   +3 more
doaj   +1 more source

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 Modeling and Characterization of Hate Speech against Immigrants on Twitter around the Emergence of a Far-Right Party in Spain

open access: yesSocial Sciences, 2020
In this paper, we sought to model and characterize hate speech against immigrants on Twitter in Spain around the appearance of the far-right party Vox.
Carlos Arcila Calderón   +2 more
doaj   +1 more source

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

Data-Assisted Persona Construction Using Social Media Data

open access: yesBig Data and Cognitive Computing, 2020
User experience design and subsequent usability evaluation can benefit from knowledge about user interaction, types, deployment settings and situations.
Dimitris Spiliotopoulos   +2 more
doaj   +1 more source

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

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  

Home - About - Disclaimer - Privacy