Semantic flow in language networks discriminates texts by genre and publication date (2020)
- Authors:
- USP affiliated authors: AMANCIO, DIEGO RAPHAEL - ICMC ; CORRÊA JÚNIOR, EDILSON ANSELMO - ICMC ; MARINHO, VANESSA QUEIROZ - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.physa.2020.124895
- Subjects: REDES COMPLEXAS; PROCESSAMENTO DE LINGUAGEM NATURAL; SEMÂNTICA
- Keywords: Semantic networks; Co-occurrence networks; Language networks; Word embeddings; Network embeddings
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
CORRÊA JUNIOR, Edilson Anselmo e MARINHO, Vanessa Queiroz e AMANCIO, Diego Raphael. Semantic flow in language networks discriminates texts by genre and publication date. Physica A, v. No 2020, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2020.124895. Acesso em: 24 abr. 2024. -
APA
Corrêa Junior, E. A., Marinho, V. Q., & Amancio, D. R. (2020). Semantic flow in language networks discriminates texts by genre and publication date. Physica A, No 2020, 1-13. doi:10.1016/j.physa.2020.124895 -
NLM
Corrêa Junior EA, Marinho VQ, Amancio DR. Semantic flow in language networks discriminates texts by genre and publication date [Internet]. Physica A. 2020 ; No 2020 1-13.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.physa.2020.124895 -
Vancouver
Corrêa Junior EA, Marinho VQ, Amancio DR. Semantic flow in language networks discriminates texts by genre and publication date [Internet]. Physica A. 2020 ; No 2020 1-13.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.physa.2020.124895 - Using complex networks and Deep Learning to model and learn context
- Development of new models for authorship recognition using complex networks
- Comparing the topological properties of real and artificially generated scientific manuscripts
- Classificação de textos com redes complexas
- Authorship attribution via network motifs identification
- Labelled network subgraphs reveal stylistic subtleties in written texts
- Authorship recognition via fluctuation analysis of network topology and word intermittency
- Extractive multi document summarization using dynamical measurements of complex networks
- Probing the topological properties of complex networks modeling short written texts
- Network analysis of named entity co-occurrences in written texts
Informações sobre o DOI: 10.1016/j.physa.2020.124895 (Fonte: oaDOI API)
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