Comparative analysis on Facebook post interaction using DNN, ELM and LSTM

This study presents a novel research approach to predict user interaction for social media post using machine learning algorithms. The posts are converted to vector form using word2vec and doc2vec model. These two methods are used to analyse the best approach for generating word embeddings. The gene...

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Detalles Bibliográficos
Autores principales: Khan, Sabih Ahmad, Chang, Hsien-Tsung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6850539/
https://www.ncbi.nlm.nih.gov/pubmed/31714918
http://dx.doi.org/10.1371/journal.pone.0224452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6850539/
https://www.ncbi.nlm.nih.gov/pubmed/31714918
http://dx.doi.org/10.1371/journal.pone.0224452

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