Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Analyzing Market Factors for Stock Price Prediction using Deep Learning Techniques Subject The topic of the resource FBPROPHET; Financial markets; FinBERT; GBDT; Lexical- Based; LSTM; MAE; MSE; Naive Bayes; RMSE; Stock price predictions Description An account of the resource This paper presents a comprehensive study on stock price predictions by integrating market factors and sentiment analysis of news headlines. The research is divided into two modules, each employing distinct methodologies to enhance the accuracy of stock price forecasts. In the first module, market factors are investigated using three advanced algorithms: Long Short-Term Memory (LSTM), Gradient Boosting Decision Trees (GBDT), and Facebook Prophet (FBPROPHET). These algorithms are evaluated based on metric scores such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). The analysis focuses on predicting high and low values of market prices for the period from January to June 2021. The comparative assessment of these algorithms provides insights into their effectiveness in capturing market trends and making precise predictions. In the second module, the paper explores the impact of news headlines on stock prices by extracting sentiment using three distinct algorithms: lexical-based analysis, Naive Bayes, and FinBERT. The sentiment analysis aims to gauge the market sentiment reflected in news articles and assess its influence on stock price movements. Prediction accuracy is calculated for each algorithm, highlighting their strengths in capturing sentiment patterns. 2024 IEEE. Creator An entity primarily responsible for making the resource Suresh K.; Sarkar A.; Rai A.; Vasishtha A.; Fernandes T.; Cecil Donald A. Source A related resource from which the described resource is derived 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024 - Proceedings, pp. 1837-1841. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/I-SMAC61858.2024.10714754" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/I-SMAC61858.2024.10714754</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208572605&amp;doi=10.1109%2FI-SMAC61858.2024.10714754&amp;partnerID=40&amp;md5=5ea5ded405cc0ef8facdc80c12150ac1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208572605&amp;doi=10.1109%2fI-SMAC61858.2024.10714754&amp;partnerID=40&amp;md5=5ea5ded405cc0ef8facdc80c12150ac1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037642-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Suresh K., Christ University, Department of Computer Science, Bangalore, 560029, India; Sarkar A., Christ University, Department of Computer Science, Bangalore, 560029, India; Rai A., Christ University, Department of Computer Science, Bangalore, 560029, India; Vasishtha A., Christ University, Department of Computer Science, Bangalore, 560029, India; Fernandes T., Christ University, Department of Computer Science, Bangalore, 560029, India; Cecil Donald A., Christ University, Department of Computer Science, Bangalore, 560029, India