Facets for Discovery and Exploration in Text Collections
نویسندگان
چکیده
Faceted classifications of text collections provide a useful means of partitioning documents into related groups, however traditional approaches of faceting text collections rely on comprehensive analysis of the subject area or annotated general attributes. In this paper we show the application of basic principles for facet analysis to the development of computational methods for facet classification of text collections. Integration with a visual analytics system is described with summaries of user experiences.
منابع مشابه
Keyword-Based Browsing and Analysis of Large Document Sets
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on KDD has been concerned with structured databases, there has been little work on handling the huge amount of information that is available only in unstructured textual form. This paper describes the KDT system for Kno...
متن کاملVisualizing for Exploration and Discovery
In the last few years, libraries have been faced with a harsh reality in which they have been losing their users and their position as a primary information source. In the attempt to improve their services, we have witnessed a growing number of modernized library information systems, tools, and features and while libraries (or at least some of them) have made a significant step forward in this ...
متن کاملبررسی ویژگیهای روانسنجی «پرسشنامه شخصیتی 5 عاملی نئو» (NEO-FFI)
The major aim of this research was to investigate psychometric properties of “NEO-Five Factor Inventory” (NEO-FFI). To this aim, after doing preliminary stages and resolving possible problems, the exploration of this scale was conducted in two studies: in the first study, in order to assess reliability using internal consistency, 604 undergraduate students of Tehran, Amirkabir and Shahed Univer...
متن کاملExploration of Full-text Databases with Self-organizing Maps
Availability of large full-text document collections in electronic form has created a need for intelligent information retrieval techniques. Especially the expanding World Wide Web presupposes methods for systematic exploration of miscellaneous document collections. In this paper we introduce a new method, the WEBSOM, for this task. Self-Organizing Maps (SOMs) are used to represent documents on...
متن کاملStructure Discovery in Text Collections
This paper reports on preliminary research aiming at discovering and exploiting structure in real-life, dynamic text collections. The text collection is a technical library catalog in the domain of aerospace test and evaluation. The vigilance parameter of Adaptive Resonance Theory (ART) neural networks proved to be a useful structure detector, allowing for the determination of clustering tenden...
متن کامل