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Live News Streams Extraction for Visualization of Stock Market Trends

Authors :
Sachin N. Deshmukh
Vaishali Ingle
Source :
Lecture Notes in Electrical Engineering ISBN: 9788132235903
Publication Year :
2016
Publisher :
Springer India, 2016.

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.

Details

ISBN :
978-81-322-3590-3
ISBNs :
9788132235903
Database :
OpenAIRE
Journal :
Lecture Notes in Electrical Engineering ISBN: 9788132235903
Accession number :
edsair.doi...........d644733fe1750f4d8c70c8a3e9e44fb1
Full Text :
https://doi.org/10.1007/978-81-322-3592-7_30