Feature extractions and selection of bot detection on Twitter A systematic literature review: Feature extractions and selection of bot detection on Twitter A systematic …

R Al-azawi, O Safaa - Inteligencia Artificial, 2022 - journal.iberamia.org
Automated or semiautomated computer programs that imitate humans and/or human
behavior in online social networks are known as social bots. Users can be attacked by social …

LSTM neural network model with feature selection for financial time series prediction

N Pai, V Ilango - 2020 Fourth International Conference on I …, 2020 - ieeexplore.ieee.org
The case of features selection plays an important role in fine-tuning the prediction capacity
of machine learning models. This paper reviews the different scenarios with three sets of …

Research on customer opinion summarization using topic mining and deep neural network

M Hong, H Wang - Mathematics and Computers in Simulation, 2021 - Elsevier
Product reviews are of great commercial value for online shopping market. The identification
of customer opinions from product reviews is helpful to improve the marketing decisions of …

Predicting Bitcoin prices: The effect of interest rate, search on the internet, and energy prices

JT Aparicio, M Romao, CJ Costa - 2022 17th Iberian …, 2022 - ieeexplore.ieee.org
The current study's goal is to explain the price of bitcoins. We examined the effect of Web
search statistics, energy prices, and alternative investment (or cost of opportunity) on bitcoin …

Manipulator detection in cryptocurrency markets based on forecasting anomalies

F Akba, IT Medeni, MS Guzel, I Askerzade - IEEE Access, 2021 - ieeexplore.ieee.org
Today, there are constant changes in terms of securities in stock markets. In these stock
market investments, investors use fundamental analysis tools and indicators very widely. In …

Twitter Mining based Forecasting of cryptocurrency using sentimental analysis of Tweets

U Maqsood, FY Khuhawar, S Talpur… - … on Wireless and …, 2022 - ieeexplore.ieee.org
The decentralization of cryptocurrency has decreased the level of central control, which has
impacted international trade and ties. There is also an urgent need for a credible way of …

BLOK ZİNCİRİNİN (BLOCKCHAIN) LİTERATÜR BÜYÜMESİ IŞIĞINDA YENİ SİBER GÜVENLİK ARAYIŞLARI

M Doğrul, A Erğurum - Güvenlik Bilimleri Dergisi, 2021 - dergipark.org.tr
Bu çalışma, blockchain teknolojisi ve devletlerin güvenlik politikaları arasındaki ilişkiyi Web
of Science verilerinin bibliometrik analizi ışığında incelemektedir. Verilere göre Çin …

Machine Learning for Increased Profits in the Cryptocurrency Market Through Pattern Recognition with Artificial Neural Networks

JG Lazo Lazo, DA Ruiz Cárdenas… - … conference on WorldS4, 2023 - Springer
The cryptocurrency market is characterized by having a high price variation, being a
developing market and by its uncertainty. Despite this, investors in this market are constantly …

Aplicando técnicas de inteligencia artificial en el reconocimiento de patrones para gestión de inversiones en el mercado del Bitcoin

JGL Lazo, DAR Cárdenas… - … Florida Journal of …, 2024 - ojs.southfloridapublishing.com
El mercado de las criptomonedas es conocido por su constante evolución, alta volatilidad,
incertidumbre y frecuentes fluctuaciones de precios. Esto expone a los inversores a riesgos …

Customer and employee social media comments/feedback and stock purchasing decisions enhanced by sentiment analysis

DM Hall - 2020 - search.proquest.com
Abstract The US Securities and Exchange Commission (SEC) warns professional investors
that sentiment analysis tools may lead to impulsive investment decision-making. This …