Latent topics resonance in scientific literature and commentaries: evidences from natural language processing approach.

ABSTRACT: Resonance is generally used as a metaphor to describe the manner how the information from different sources is combined. Although it is an attractive and fundamental phenomenon in human behavior studies, most studies observed semantic resonances in well-controlled experimental settings at word level. To make up the missing link between word and document level resonances, we devoted our contributions to topic resonances in a novel and natural setting: academic commentaries. Ninety-three academic commentaries from ninety-three authors, along with their references and original papers, are analyzed by a latent Dirichlet allocation based natural language processing approach. This approach can decompose a corpus written and read by an author into several topics with different weights, which can

SUBMITTER: Wang T 

PROVIDER: S-EPMC6019969 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature