Development of Financial Prediction System using Natural Lang Processing
Gayatri B. Patil1, Nitin N. Patil2
1Gayatri B. Patil, PG Student, Department of Computer Engineering, R. C. Patel Institute of Technology Shirpur, India.
2Prof. Dr. Nitin N. Patil, Head & Associate Professor, Department of Computer Engineering, R. C. Patel Institute of Technology Shirpur, India.
Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3323-3326 | Volume-8 Issue-5, January 2020. | Retrieval Number: D9157118419/2020©BEIESP | DOI: 10.35940/ijrte.D9157.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In financial stock market, final prices modify day-to-day at the end of each meeting. These modifications occur because of many issues that disturb the prices of the stocks. In our implementation, we used K-means algorithm to accurately calculate final prices by applying a data mining methodology. We examine and identify the most influential factors of Dubai Financial Stock Market prices. The main aim of this process is to help depositors to plan their future stock chances precisely. Two algorithms namely supervised and unsupervised algorithms are used in this method. It provides an efficient mechanism for the highly available CPU intensive process of big data analysis with help of cloud computing framework for analyzing and predicting the market closing values on the basis on external factors.
Keywords: Financial Market, Natural Language Processing, Data Mining, Cloud Computing.
Scope of the Article: Natural language Processing.