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Ph.D.
(Computer Applications)
PREDICTIVE MODELLING FOR SHORT TERM STOCK MOVEMENT
USING SENTIMENT ANALYSIS
Ph.D. Scholar : Gondaliya Chetan Pravinbhai
Research Supervisor : Dr. Ajaykumar M. Patel
Regi. No.: 17276211004
Abstract :
A popular saying by warren buffet "If you do not find a way to make money while you
sleep, you will work until you die” shows the importance of money to create wealth. One
should, as an investor, always need to think about how to attract money through money?
However, in reality, there are very few tools, techniques, or models that can help investors
take their investment-related decisions. In recent times, continuous falls in interest rate
resulted into diversion of all investors' money from fix deposited to the equity market.
However, the wrong selection of equity stock is ruining the wealth of many investors.
Hence, current research tries to develop new and advanced modeling using computer
against language to help investors make better or more accurate investment decisions
that will protect any destruction of their wealth in the short run.
Of course, an increase in share price largely depends upon its technical and fundamental
performance. Nevertheless, investors need to know how to identify good equity stocks to
buy due to the continuous decline in interest rates. Not each investor has good
knowledge or background in technical and fundamental analysis of the equity market. So,
there is the scope of developing a model with accuracy that helps such investors create
wealth and help them protect their money from any adverse market condition. Sentiment
analysis is a tool that captures sentiments about a particular company through social
media feeds. Whenever it is about making money through investment, everyone is very
open to discussing the good and bad about the company to decide whether to go for
buying or selling. In literature, many other modeling methods and factors are used for
creating a prediction model. However, the concept of sentiment analysis for price
prediction is a new approach to achieving better accuracy in the prediction of the stock
price for the short-term duration.
In the Indian context, the banking industry, real estate and pharmaceutical industry are
the most dominating, demanding, and fastest-growing Industries. There is a possibility
that during the downturn, these industries may protect investors from ruining their wealth
by downside protection. In the long run, these industries have given the best returns
historically. Of course, it is still debatable in the short term, whether to bet on these
Industry stocks or not! In addition to this, which stock is to be considered within the
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