Gold Price Forecasting: A Novel Approach Based on Text Mining and Big-Data-Driven Model

This work uses Google Trends and online text mining to test a novel approach to gold price prediction. To explain the gold price prognosis, the convolutional neural network (CNN) also uses linguistic criteria for news items about gold. The findings of this study can be used to explain the theoretica...

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Main Authors: Poor Saeed Kian, Fattahi Shahram, Hajian Mohsen
Format: Article
Language:English
Published: Sciendo 2024-12-01
Series:Studies in Business and Economics
Subjects:
Online Access:https://doi.org/10.2478/sbe-2024-0049
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author Poor Saeed Kian
Fattahi Shahram
Hajian Mohsen
author_facet Poor Saeed Kian
Fattahi Shahram
Hajian Mohsen
author_sort Poor Saeed Kian
collection DOAJ
description This work uses Google Trends and online text mining to test a novel approach to gold price prediction. To explain the gold price prognosis, the convolutional neural network (CNN) also uses linguistic criteria for news items about gold. The findings of this study can be used to explain the theoretical underpinnings of information processing worldwide. According to experimental findings, big data forecasting and online data mining are more efficient than other methods. As a result, utilizing 19926 in sum news headlines acquired, the synergistic connection between news items and Google Trends is successful in accurately projecting the price of gold.
format Article
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institution Kabale University
issn 2344-5416
language English
publishDate 2024-12-01
publisher Sciendo
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series Studies in Business and Economics
spelling doaj-art-45586e73a42a404f92e899e9bf4543002025-02-02T15:49:07ZengSciendoStudies in Business and Economics2344-54162024-12-0119315617110.2478/sbe-2024-0049Gold Price Forecasting: A Novel Approach Based on Text Mining and Big-Data-Driven ModelPoor Saeed Kian0Fattahi Shahram1Hajian Mohsen21Faculty of Economics, Payame Noor University, Tehran, Iran2Faculty of Economics, Razi University, Kermanshah, Iran3Faculty of Economics, Payame Noor University, Tehran, IranThis work uses Google Trends and online text mining to test a novel approach to gold price prediction. To explain the gold price prognosis, the convolutional neural network (CNN) also uses linguistic criteria for news items about gold. The findings of this study can be used to explain the theoretical underpinnings of information processing worldwide. According to experimental findings, big data forecasting and online data mining are more efficient than other methods. As a result, utilizing 19926 in sum news headlines acquired, the synergistic connection between news items and Google Trends is successful in accurately projecting the price of gold.https://doi.org/10.2478/sbe-2024-0049gold price predictiontrendsonline newsdata miningcnn
spellingShingle Poor Saeed Kian
Fattahi Shahram
Hajian Mohsen
Gold Price Forecasting: A Novel Approach Based on Text Mining and Big-Data-Driven Model
Studies in Business and Economics
gold price prediction
trends
online news
data mining
cnn
title Gold Price Forecasting: A Novel Approach Based on Text Mining and Big-Data-Driven Model
title_full Gold Price Forecasting: A Novel Approach Based on Text Mining and Big-Data-Driven Model
title_fullStr Gold Price Forecasting: A Novel Approach Based on Text Mining and Big-Data-Driven Model
title_full_unstemmed Gold Price Forecasting: A Novel Approach Based on Text Mining and Big-Data-Driven Model
title_short Gold Price Forecasting: A Novel Approach Based on Text Mining and Big-Data-Driven Model
title_sort gold price forecasting a novel approach based on text mining and big data driven model
topic gold price prediction
trends
online news
data mining
cnn
url https://doi.org/10.2478/sbe-2024-0049
work_keys_str_mv AT poorsaeedkian goldpriceforecastinganovelapproachbasedontextminingandbigdatadrivenmodel
AT fattahishahram goldpriceforecastinganovelapproachbasedontextminingandbigdatadrivenmodel
AT hajianmohsen goldpriceforecastinganovelapproachbasedontextminingandbigdatadrivenmodel