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Exploratory Search and Trend Detection

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If you have a question about this talk, please contact Tamara Polajnar.

The talk will present the notion of exploratory search as a means to go beyond „lookup“, like learning or investigating (Marchionini 2006), and sketch its usefulness in new applications such as Digital Humanities. In detail, I want to present a new approach to the analysis of topics and their dynamics over time. Given a large amount of time stamped textual data, we can identify ”hotly discussed“ concepts by analysing the rate a term changes context. Adopting the notion of volatility from econometrics, context volatility can be used to detect “weak signals” or semantic change independent from pure counts of frequency.

This talk is part of the NLIP Seminar Series series.

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