Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Systems development in information systems research
Journal of Management Information Systems - Special issue on management support systems
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Combining data and text mining techniques for analysing financial reports: Research Articles
International Journal of Intelligent Systems in Accounting and Finance Management
The language of quarterly reports as an indicator of change in the company's financial status
Information and Management
Journal of Management Information Systems
CLDA: Feature Selection for Text Categorization Based on Constrained LDA
ICSC '07 Proceedings of the International Conference on Semantic Computing
Textual analysis of stock market prediction using breaking financial news: The AZFin text system
ACM Transactions on Information Systems (TOIS)
Mining Financial News for Major Events and Their Impacts on the Market
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Communications of the ACM - A Direct Path to Dependable Software
Discovering company revenue relations from news: A network approach
Decision Support Systems
ICTAI '09 Proceedings of the 2009 21st IEEE International Conference on Tools with Artificial Intelligence
Making words work: Using financial text as a predictor of financial events
Decision Support Systems
Identification of fraudulent financial statements using linguistic credibility analysis
Decision Support Systems
A computational model for financial reporting fraud detection
Decision Support Systems
Fraud detection in online consumer reviews
Decision Support Systems
Giving context to accounting numbers: The role of news coverage
Decision Support Systems
An intraday market risk management approach based on textual analysis
Decision Support Systems
Detecting complex account fraud in the enterprise: The role of technical and non-technical controls
Decision Support Systems
Text Mining: Predictive Methods for Analyzing Unstructured Information
Text Mining: Predictive Methods for Analyzing Unstructured Information
Design science in information systems research
MIS Quarterly
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Discovering business intelligence from online product reviews: A rule-induction framework
Expert Systems with Applications: An International Journal
Group-Buying E-Commerce in China
IT Professional
Hazy: making it easier to build and maintain big-data analytics
Communications of the ACM
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Company movements and market changes often are headlines of the news, providing managers with important business intelligence (BI). While existing corporate analyses are often based on numerical financial figures, relatively little work has been done to reveal from textual news articles factors that represent BI. In this research, we developed BizPro, an intelligent system for extracting and categorizing BI factors from news articles. BizPro consists of novel text mining procedures and BI factor modeling and categorization. Expert guidance and human knowledge (with high inter-rater reliability) were used to inform system development and profiling of BI factors. We conducted a case study of using the system to profile BI factors of four major IT companies based on 6859 sentences extracted from 231 news articles published in major news sources. The results show that the chosen techniques used in BizPro - Naive Bayes (NB) and Logistic Regression (LR) - significantly outperformed a benchmark technique. NB was found to outperform LR in terms of precision, recall, F-measure, and area under ROC curve. This research contributes to developing a new system for profiling company BI factors from news articles, to providing new empirical findings to enhance understanding in BI factor extraction and categorization, and to addressing an important yet under-explored concern of BI analysis.