Analysis of Financial News with NewsStream
Petra Kralj Novak, Miha Grcar, Borut Sluban, Igor Mozetic

TL;DR
The paper introduces NewsStream, a scalable real-time news analytics portal that processes and visualizes financial news and blogs, providing insights into entity mentions, sentiment, and relationships over time.
Contribution
It presents a novel scalable architecture for real-time processing and analysis of large-scale financial news streams with interactive querying and visualization features.
Findings
Collected over 18 million news articles and blogs over two years
Demonstrated system capabilities through three diverse financial use cases
Enabled insights into news sentiment, entity relations, and global connectivity
Abstract
Unstructured data, such as news and blogs, can provide valuable insights into the financial world. We present the NewsStream portal, an intuitive and easy-to-use tool for news analytics, which supports interactive querying and visualizations of the documents at different levels of detail. It relies on a scalable architecture for real-time processing of a continuous stream of textual data, which incorporates data acquisition, cleaning, natural-language preprocessing and semantic annotation components. It has been running for over two years and collected over 18 million news articles and blog posts. The NewsStream portal can be used to answer the questions when, how often, in what context, and with what sentiment was a financial entity or term mentioned in a continuous stream of news and blogs, and therefore providing a complement to news aggregators. We illustrate some features of our…
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Taxonomy
TopicsStock Market Forecasting Methods · Complex Systems and Time Series Analysis · Advanced Text Analysis Techniques
