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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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