Introduction to natural language processing
Introduction to natural language processing
Chinese text segmentation for text retrieval: achievements and problems
Journal of the American Society for Information Science
ACTS: an automatic Chinese text segmentation system for full text retrieval
Journal of the American Society for Information Science
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Agent sourcebook
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Activity monitoring: noticing interesting changes in behavior
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Theme-based retrieval of Web news (poster session)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Concept decompositions for large sparse text data using clustering
Machine Learning
Currency exchange rate forecasting from news headlines
ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
Topic detection and interest tracking in a dynamic online news source
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Forecasting Intraday Stock Price Trends with Text Mining Techniques
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 3 - Volume 3
Chinese word segmentation and its effect on information retrieval
Information Processing and Management: an International Journal
Financial Activity Mining from Online Multilingual News
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Topic-based clustering of news articles
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Word identification for Mandarin Chinese sentences
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Mining events and new name translations from online daily news
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
A Chinese word segmentation based on language situation in processing ambiguous words
Information Sciences: an International Journal
Finding Trading Patterns in Stock Market Data
IEEE Computer Graphics and Applications
Unknown word extraction for Chinese documents
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
A fuzzy ontology and its application to news summarization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Intelligent location-based mobile news service system with automatic news summarization
Expert Systems with Applications: An International Journal
Multi-document summarization via submodularity
Applied Intelligence
Dynamic adaptation of numerical attributes in a user profile
Applied Intelligence
Automatic preference learning on numeric and multi-valued categorical attributes
Knowledge-Based Systems
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Numerous paper-based newspapers have been transformed into a digital format and published on the Internet. Digital newspapers are gradually becoming a popular electronic media for conveying information immediately. Google developed a powerful news service, Google news alert, based on the Google news aggregator for tracking user-interested new events utilizing a keywords matching approach. However, this service only monitors and tracks news events using the keyword-matching scheme; consequently, the Google news alert retrieves many irrelevant news events and sends them to users. In other words, the current service cannot monitor news events via a specific news topic; although recall rate is high, the precision rate is low when tracking user-interested news events. Thus, this study presents a novel personalized e-news monitoring agent system that employs the topic-tracking-based approach, improving the flaw of the keyword-based approach, for tracking user-interested news events on Google News site. The proposed scheme simultaneously considers both similarities and the semantic relationships among news topics to track news events. Additionally, to further support the promotion of the accuracy rate in tracking user-interested Chinese news events, the Chinese word segmentation system ECScanner (An Extension Chinese Lexicon Scanner) with new word extension is proposed for the Chinese word segmentation process. Experimental results demonstrated that the proposed scheme, based on topic-based approach, is superior to the keyword-based approach used by Google news alert in terms of precision rate, and retains a high recall rate when tracking user-interested news events. Compared with the conventional Chinese word segmentation system CKIP (Chinese Knowledge Information Processing), experimental results also confirmed that using the proposed ECScanner with novel extension mechanism for new words improves the accuracy rate in tracking user-interested news events.