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MOOCs Meet Measurement Theory: A Topic-Modelling Approach
This paper adapts topic models to the psychometric testing of MOOC students based on their online forum postings. Measurement theory from education and psychology provides statistical models for quantifying a person's attainment of intangible attributes ...
Bailey, James +5 more
core +1 more source
'What is this corpus about?': Using topic modelling to explore a specialised corpus [PDF]
This paper introduces topic modelling, a machine learning technique that automatically identifies 'topics' in a given corpus. The paper illustrates its use in the exploration of a corpus of academic English.
Akira Murakami +16 more
core +1 more source
Data-Assisted Persona Construction Using Social Media Data
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
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
Discriminative Relational Topic Models [PDF]
Many scientific and engineering fields involve analyzing network data. For document networks, relational topic models (RTMs) provide a probabilistic generative process to describe both the link structure and document contents, and they have shown promise on predicting network structures and discovering latent topic representations.
Chen, Ning +3 more
openaire +3 more sources
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
ATM: Adversarial-neural Topic Model [PDF]
Published at the journal Information Processing & ...
Wang, Rui, Zhou, Deyu, He, Yulan
openaire +2 more sources
A hierarchical topic modelling approach for tweet clustering [PDF]
While social media platforms such as Twitter can provide rich and up-to-date information for a wide range of applications, manually digesting such large volumes of data is difficult and costly.
Antônio Freire Carvalho +5 more
core +4 more sources
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems
This paper introduces a purposed Location-based Recommender System (LBRS) that combines sentiment analysis and topic modelling techniques to improve user profiling for enhancing recommendations of Points of Interest (POIs).
Xiaohui Tao +3 more
doaj +1 more source

