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The purpose of this study is to propose a topic identification algorithm using neural networks. A sample from the Excite data log is selected to train the neural network and then the neural network is used to identify topic changes in the data log. As a result, 76% of topic shifts and 92% of topic continuations are identified correctly.<\/jats:p>","DOI":"10.1002\/meet.1450410137","type":"journal-article","created":{"date-parts":[[2005,9,22]],"date-time":"2005-09-22T14:06:39Z","timestamp":1127397999000},"page":"310-316","source":"Crossref","is-referenced-by-count":10,"title":["Neural network applications for automatic new topic identification on excite web search engine data logs"],"prefix":"10.1002","volume":"41","author":[{"given":"H. 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