A Commonsense Knowledge-Enabled Textual Analysis Approach for Financial Market Surveillance

DOI10.1287/ijoc.2015.0677zbMath1415.91336OpenAlexW2302487515WikidataQ125941038 ScholiaQ125941038MaRDI QIDQ3186659

Kun Chen, Terrance Fung, Huaiqing Wang, Daniel D. Zeng, Sherry X. Sun, Xin Li

Publication date: 12 August 2016

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2015.0677

zbMATH Keywords

text miningbusiness intelligencecommonsense knowledgeintelligent financial systemsmarket surveillance

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to game theory, economics, and finance (91-04) Actuarial science and mathematical finance (91G99)

Related Items (3)

Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach ⋮ Detecting Product Adoption Intentions via Multiview Deep Learning ⋮ Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions

Uses Software

• DBpedia

Cites Work

• A Cluster-Based Context-Tree Model for Multivariate Data Streams with Applications to Anomaly Detection
• A simple model of global cascades on random networks

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