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Correlate Influential News Article Events to Stock Quote Movement

  • Arun Chaitanya Mandalapu
  • Saranya Gunabalan
  • Avinash Sadineni
  • Taotao CaiEmail author
  • Nur Al Hasan HaldarEmail author
  • Jianxin Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11888)

Abstract

This study is to investigate the digital media influence on financial equity stocks. For investment plans, knowledge-based decision support system is an important criterion. The stock exchange is becoming one of the major areas of investments. Various factors affect the stock exchange in which social media and digital news articles are found to be the major factors. As the world is more connected now than a decade ago, social media does play a main role in making decisions and change the perception of looking at things. Therefore a robust model is an important need for forecasting the stock prices movement using social media news or articles. From this line of research, we assess the performance of correlation-based models to check the rigorousness over the large data sets of stocks and the news articles. We evaluate the various stock quotes of entities across the world on the day news article is published. Conventional sentiment analysis is applied to the news article events to extract the polarity by categorizing the positive and negative statements to study their influence on the stocks based on correlation.

Keywords

Correlation Sentiment analysis Name entity recognition 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Arun Chaitanya Mandalapu
    • 1
  • Saranya Gunabalan
    • 1
  • Avinash Sadineni
    • 1
  • Taotao Cai
    • 1
    Email author
  • Nur Al Hasan Haldar
    • 2
    Email author
  • Jianxin Li
    • 1
  1. 1.Deakin UniversityMelbourneAustralia
  2. 2.The University of Western AustraliaPerthAustralia

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