Browsing by Author "Klavans, Judith L."
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Item Complementarity and Similarity: Relationships Between Text-Mined Terms and Social Tags for Image Description(2010-07-19) Klavans, Judith L.; Cho, Hyoungtae; LaPlante, RebeccaIn this paper, we present our results on comparing the language of social tags with text-mined terms for images. We have developed a novel modification of the standard term frequency/inverse document frequency metric (tf*idf) (Salton & Buckley 1988) over tags and terms to identify and filter terms which discriminate images for searchers. Since tags serve as additional input, we refer to this modification as the T-tf*idf Measure, i.e. Tags-term frequency as an inverse of document frequency, where "document" in this case refers to the either the tag or term dataset. We present the results of several variations on this measure, and demonstrate the impact on output. We discuss evaluation of our results on the ability of the metric to reflect human judgments through experiments which illustrate the value of the approach.Item Cybersecurity - What's Language got to do with it?(2015-09-18) Klavans, Judith L.A new opportunity to explore and leverage the power of computational linguistic methods and analysis in ensuring effective Cybersecurity is presented. This White Paper discusses some of the specific emerging research opportunities, covering human language technologies such as language identification, topic modeling, and information extraction for keyword recognition.Item Taming Social Tags: Computational Linguistic Analysis of Tags for Images in Museums(2011-05-13) Klavans, Judith L.; Guerra, Raul; LaPlante, Rebecca; Stein, Robert; Bachta, EdwardThis paper reports on the linguistic analysis of a tag set of nearly 50,000 tags collected as part of the steve.museum project. The tags describe images of objects in museum collections. We present our results on morphological, part of speech and semantic analysis. We demonstrate that deeper tag processing provides valuable information for organizing and categorizing social tags. This promises to improve access to museum objects by leveraging the characteristics of tags and the relationships between them rather than treating them as individual items. At a high level, the paper shows the value of using computational linguistic techniques in interdisciplinary projects with museums and libraries.