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Live News Streams Extraction for Visualization of Stock Market Trends

  • Vaishali IngleEmail author
  • Sachin Deshmukh
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 395)

Abstract

The live news data is vital role in the movement of stock prices. The real time unstructured data is generated through electronic and online news sources. Text mining is used for preprocessing of news stories from web sources. The visualization of stock trends can be correlated with actual market prices. The proposed analysis on current news stories helps to predict stock trends. Other techniques like tagging of stock related terms can be added for improvement in results. Stock market trends can be captured with help of this technique.

Keywords

Text mining Stock market News streams Word cloud 

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Copyright information

© Springer India 2017

Authors and Affiliations

  1. 1.Department of Computer Science and ITDr. Babasaheb Ambedkar Marathwada UniversityAurangabadIndia

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