Events and Trends in Text Streams
Dave W. Engel, Paul Whitney, Nick Cramer · 2010
This chapter provides a description of the data and the extraction and reduction of relevant features. It discusses the methodology for the detection of events and trends. The chapter explains the temporally related terms and presents an example to illustrate the capabilities of the technology. It also discusses the differences in the algorithms, contrast the algorithms with other topicality measures, and summarize our technology development. The chapter focuses on processing massive amounts of text streams to identify events that have just occurred or are currently occurring. It compares the results to text analysis results on a static document collection and found that the techniques produce results that are different and enhance those results. Controlled Vocabulary Terms data reduction