An analysis of vector space models based on computational geometry
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Little words can make a big difference for text classification
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Computer Evaluation of Indexing and Text Processing
Journal of the ACM (JACM)
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Document Length Normalization
Pivoted Document Length Normalization
Pivoted Document Length Normalization
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
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In this paper, we take a real world application from a text database and present a case history. The techniques ultimately led to a discovery contradicting an accepted paradigm in seismology. Using simple, tailored, keyword extraction, we examined a text collection of earthquake data. A discovery was made when an unusual pattern emerged from the text. We then tested a more comprehensive numerical database, treating the the text discovery as a hypothesis. It was verified using a standard chi-square statistic. The hypothesis was significant earthquakes in the longitude regions that include California, occur more often in the morning hours than any other time of day.