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Published in:
2021 | OriginalPaper | Chapter
STOCK: A User-Friendly Stock Prediction and Sentiment Analysis System
(Demonstration Paper)
Authors : Ilda Balliu, Harun Ćerim, Mahran Emeiri, Kaan Yöş, Irena Holubová
Published in: Research Challenges in Information Science
Publisher: Springer International Publishing
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Abstract
Determining a future value of a company in order to find a good target for investing is a critical and complex task for stock marketers. And it is even more complicated for non-experts.
STOCK is a modular, scalable, and extensible framework that enables users to gain insight in the stock market by user-friendly combination of three sources of information: (1) An easy access to the companies’ current position and evolution of prices. (2) Prediction models and their customisation according to users’ needs and interests, regardless of their knowledge in the field. (3) Results of sentiment analysis of related news that may influence the respective changes in prices.