6533b836fe1ef96bd12a0c00
RESEARCH PRODUCT
Document Word Clouds: Visualising Web Documents as Tag Clouds to Aid Users in Relevance Decisions
Thomas Gottronsubject
Information retrievalProcess (engineering)Computer sciencemedia_common.quotation_subjectDocument clusteringUser requirements documentWorld Wide WebPerceptionRelevance (information retrieval)Tag cloudtf–idfΤεχνικές υπηρεσίες σε βιβλιοθήκες αρχεία και μουσείαTechnical services in libraries archives and museumsWord (computer architecture)media_commondescription
Περιέχει το πλήρες κείμενο Information Retrieval systems spend a great effort on determining the significant terms in a document. When, instead, a user is looking at a document he cannot benefit from such information. He has to read the text to understand which words are important. In this paper we take a look at the idea of enhancing the perception of web documents with visualisation techniques borrowed from the tag clouds of Web 2.0. Highlighting the important words in a document by using a larger font size allows to get a quick impression of the relevant concepts in a text. As this process does not depend on a user query it can also be used for explorative search. A user study showed, that already simple TF-IDF values used as notion of word importance helped the users to decide quicker, whether or not a document is relevant to a topic.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-01-01 |