sexi

nice

Size-weighted tag clouds (the more geenirc term) can be useful, although typographic variations (e.g. ascenders nd descenders) and psychological perceptual weighting (some terms will leap out almost without thought) can limit the effectiveness of a tag cloud for formal study.The main danger I see is that you need to have analyzed the data and determined which features to present, which can lead to missing major features. A secondary difficulty is in choosing term weighting. This is a general problem in information retrieval, especially Salton-style cosine vector approaches, where longer texts are always reported to be more ?relevant? to a query than shorter texts because they contain the search terms more often. The most important term in a vocabulary is often document.title, but it occurs only once per document. For example, _Encyclope6dia Britannica_ One approach to resolving the relative differences between a word such as _whitehouse_ occurring in the E.B. and the same word occurring in a telegram from George Bush to the ben Laden family might be to use Situational Semantics, an emerging field that considers both context and situation.For now, in the case that you have some knowledge of your data and some control over it, you're obviously in a good position to produce finding aids. Even there, there's a question about what the person using the finding aids is actually seeking. When I'm looking for a particular illustration to answer an image search request for a stock image, perhaps to illustrate a book or a documentary, I find that most people scanning or photographing books and putting them online are in many cases not interested even in mentioning whether the books are illustrated, let alone naming the artists.My conclusion so far is that to a large extent the best finding aids are dynamic, but based on guiding information provided by a curator.

jakieś takie nieforemne te bimbałki, no nie wiem sam, może się czepiam.