PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning-Reference-Cited by-同舟云学术

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PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning

Published:2021-11 Issue: Volume:138 Page:104920
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Gupta Aakansha^ORCID,Katarya Rahul^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference42 articles.

1. COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization;Esteva;Npj Digit. Med.,2021

2. Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset;Zhang,2020

3. Vapur: a search engine to find related protein - compound pairs in COVID-19 literature;Köksal,2020

4. Text mining of news-headlines for FOREX market prediction: a Multi-layer Dimension Reduction Algorithm with semantics and sentiment;Khadjeh Nassirtoussi;Expert Syst. Appl.,2015

5. Forex-foreteller: currency trend modeling using news articles;Jin,2013

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