Bitcoin Price Prediction With Covid-19 Sentiment Using LSTM Neural Network

Abstract

Cryptocurrencies are nowadays getting popular for investment due to its various benefits such as low transaction cost, blockchain secured platform, profit, etc. Bitcoin being top of the market capitalization currency, gained more popularity during covid-19 pandemic. This study focuses on bitcoin price prediction with covid-19 sentiment. Here Long Short Term Memory Deep learning model based on machine learning is used for price prediction. At the end both results i.e., with covid-19 sentiment and without it are compared which shows model performs better by adding sentiments.

A Prediction Model for Air Pollution using Artificial Neural Network and Multiple Linear Regression

“…As a result, harm to the air quality impacts life on Earth. Air pollution is the term for when gaseous, liquid, or solid wastes or byproducts contaminate the atmosphere, causing materials to deteriorate, visibility to be reduced, and health risks to humans and the biosphere (Bhavsar 2019). Critical air pollution is found in situations where the weather and geography make it di cult for air to circulate and where a signi cant portion of the population routinely travels between far-ung parts of the metropolis.…”