Andrielly Pereira, Danúbia Hillesheim, Fábio May da Silva, Regina Célia Santos Valim, Ana Luiza Curi Hallal
Tuberculosis incidence rate time series in the state of Santa Catarina, Brazil: analysis of a decade, 2010-2019
Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil
precise customer requirements acquisition primary stage product conceptual design plays decisive role product quality innovation however existing customer requirements mining approaches pay attention offline online customer comment feedback little quantitative analysis customer requirements analogical reasoning environment latent innovative customer requirements expressed analogical inspiration distinctly response paper proposes semantic analysisdriven customer requirements mining method product conceptual design based deep transfer learning improved latent dirichlet allocation ilda initially analogyinspired verbal protocol analysis experiment implemented obtain detailed customer requirements descriptions elevator full connection layers softmax layer added outputend chinese bidirectional encoder representations transformers bert pretraining language model deep transfer model utilized realize customer requirements classification among functional domain behavioral domain structural domain customer requirement descriptions elevator finetuning training moreover ilda adopted mine functional customer requirements represent customer intention maximally finally effective accuracy customer requirements classification acquired using bert deep transfer model meanwhile five kinds customer requirements elevator corresponding keywords well weight coefficients topicword distribution extracted work provide novel research perspective customer requirements mining product conceptual design natural language processing