Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
A study of thresholding strategies for text categorization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
On the Evaluation of Document Analysis Components by Recall, Precision, and Accuracy
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Automatic Discovery of Semantic Structures in HTML Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Categorizing and Extracting Information from Multilingual HTML Documents
IDEAS '05 Proceedings of the 9th International Database Engineering & Application Symposium
Intelligent financial news digest system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Design and implement a web news retrieval system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
| Hi-index | 0.01 |
Nowadays, online financial news from different sources is widely available on the Internet and there exists systems to help investors extracting and analyzing the financial news. However, many of these systems present news articles in a way without categorization and do not provide enough query options to search or get the specific aspect of news that they want. In this paper, we extend our previous work to develop an intelligent agent-based system for multi-lingual news extraction. We adopt a document categorization approach based on fuzzy keyword classification. The system applies fuzzy clustering to obtain a classification of keywords by concepts of the category. A category profile is developed and worked as a searching interface for document browsing. Experimental results show that the proposed Categorize News Agent is capable of categorizing news documents with a reasonable rate of accuracy.