Leveraging BERT for Enhanced Stock Market Prediction: A Comprehensive Review

Leveraging BERT for Enhanced Stock Market Prediction: A Comprehensive Review

Registration ID: IJNRD_208966

Published ID: IJNRD2311161

DOI: Click Here to Get

Yash A Patil , Rohan U Patil , Sarvesh S Reshimwale , Atharv J Chirmure

BERT ,Sentiment analysis, API,Natural language processing

This comprehensive review paper extensively explores the transformative possibilities offered by BERT (Bidirectional Encoder Representations from Transformers) within the context of stock market prediction, emphasizing the incorporation of stock news titles and historical stock prices. Addressing the shortcomings of conventional models in their ability to predict stock movements accurately, the investigation highlights the pivotal role of sophisticated natural language processing models, with BERT taking center stage. The proposed methodology is intricate, involving the fine-tuning of BERT using news scores obtained from an API as ground truth. The central objective is to unravel and leverage the impact of news sentiment on stock prices, offering a nuanced understanding of the intricate interplay between language and financial data. This review meticulously examines key facets, including the intricacies of the research methodology, the architecture of the implemented system, and the consequential experimental results. Through a meticulous examination of each component, this paper adds to a thorough understanding of BERT's effectiveness in improving stock market prediction. In its concluding remarks, the review not only consolidates significant findings but also extrapolates insights into the future implications of leveraging BERT for stock market forecasting. The inclusion of index terms such as BERT, stock market prediction, natural language processing, sentiment analysis, and financial analytics provides a structure

Published Paper   E-Certificate

"Leveraging BERT for Enhanced Stock Market Prediction: A Comprehensive Review", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b489-b493, November-2023, Available :https://ijnrd.org/papers/IJNRD2311161.pdf

Volume 8 Issue 11, November-2023

Pages : b489-b493

Paper Reg. ID: IJNRD_208966

Published Paper Id: IJNRD2311161

Downloads: 000121174

Research Area: Computer Science & Technology 

Country: PUNE , MAHARASHTRA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311161.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311161

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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