Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions

In supervised machine learning, specifically in classification tasks, selecting and analyzing the feature vector to achieve better results is one of the most important tasks. Traditional methods such as comparing the features’ cosine similarity and exploring the datasets manually to check which feat...

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Detalles Bibliográficos
Autores principales: Wahid, Junaid Abdul, Shi, Lei, Gao, Yufei, Yang, Bei, Tao, Yongcai, Wei, Lin, Hussain, Shabir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372003/
https://www.ncbi.nlm.nih.gov/pubmed/34458576
http://dx.doi.org/10.7717/peerj-cs.677

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372003/
https://www.ncbi.nlm.nih.gov/pubmed/34458576
http://dx.doi.org/10.7717/peerj-cs.677

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