Sahil Jaiswal, S. Srivastava, Shelly Garg, Pardeep Singh
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Effect of News Headlines on Gold Price Prediction using NLP and Deep Learning
This paper demonstrates the use of news headlines of various news articles to see their impact on the gold commodity. The extracted information is not only limited to the value of the asset but also takes into account various other factors that may help make decisions. Gold prices affect everyone and everyone wants to know how the commodity will behave based on global market sentiment, and statements made by large firms which could affect the market. Although many operations have been performed in this field, it has focused only on one aspect and is related to stocks and not commodities like gold. In this paper, we have a data set of news headlines from the period 2000-2019, and the proposed model is used to extract various information such as previous movements, asset comparisons, price guidance, and various other information that news contains. The experiment is done to check the relationship between gold news and gold prices and the model created produces information that has a significant relationship with the gold price.
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