Open AccessAn LSTM Based Forecasting for Major Stock Sectors Using COVID Sentiment
Author(s) -
Ayesha Jabeen,
Sitara Afzal,
Muazzam Maqsood,
Irfan Mehmood,
Sadaf Yasmin,
Muhammad Tabish Niaz,
Yunyoung Nam
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2021.014598
Subject(s) - mean squared error , stock market , stock (firearms) , econometrics , computer science , covid-19 , stock market prediction , time series , sentiment analysis , financial economics , business , economics , artificial intelligence , machine learning , statistics , mathematics , engineering , mechanical engineering , medicine , paleontology , disease , horse , pathology , infectious disease (medical specialty) , biology
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