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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Format: | Article |
Language: | English |
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2024-12-01
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Series: | Studies in Business and Economics |
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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 |
id | doaj-art-45586e73a42a404f92e899e9bf454300 |
institution | Kabale University |
issn | 2344-5416 |
language | English |
publishDate | 2024-12-01 |
publisher | Sciendo |
record_format | Article |
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 |