UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2005051


Registration ID:
231049

Page Number

346-354

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Title

STOCK PRICE PREDICTION USING DEEP LEARNING AND SENTIMENTAL ANALYSIS

Abstract

The objective of this paper is to find an optimal technique for predicting stock price using the combination of fundamental and technical analysis using deep learning and sentiment analysis. We propose a method to predict stock price using sentiment analysis giving specific keywords and extracting news articles from Google news which gives us the fundamental analysis is predicting the stocks and in order to perform technical analysis for the same, we check the accuracy of various statistical, machine learning and deep learning algorithms and models. Stock market is an important part of the economic system, which gives a major hand in the growth of the country through improving the economy. The stock market is the place where the trade of stocks of publicly listed companies takes place. The stock market impacts the GDP (Gross domestic product) of the country. GDP measures the output of all goods and services in an economy, which is a financial indicator of the country. As the stock market falls and rises, so does the sentiment of the country’s economy. The keywords of the sentiment analysis includes WORLD ECONOMY, INDIAN ECONOMY, NIFTY(National Stock Exchange Fifty), SENSEX(Stock Exchange Sensitive Index), SEBI (Securities and Exchange Board of India)and the models subjected to technical analysis includes linear regression, moving average, ARIMA(Autoregressive integrated moving average) model a statistical machine learning model, fakebook’s prophet model, and Long Short-Term Memory(LSTM).

Key Words

Stock market, financial indicators, LSTM, GDP, ARIMA, prophet, world economy, Indian economy, google news sentimental analysis, Nifty, Sensex, SEBI inflation, monetary, artificial intelligence, deep learning

Cite This Article

"STOCK PRICE PREDICTION USING DEEP LEARNING AND SENTIMENTAL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.346-354, May-2020, Available :http://www.jetir.org/papers/JETIR2005051.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"STOCK PRICE PREDICTION USING DEEP LEARNING AND SENTIMENTAL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp346-354, May-2020, Available at : http://www.jetir.org/papers/JETIR2005051.pdf

Publication Details

Published Paper ID: JETIR2005051
Registration ID: 231049
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 346-354
Country: pondicherry, pondicherry, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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