Topicalizer is a text analysis and topic extraction tool. Based on methods of computational linguistics it provides various analyses for a given URL or plain text. These comprise, amongst others, language recognition, lexical density, keywords, collocations, word and phrase frequencies, readability and a short abstract. Topicalizer can, for instance, be used for automatically tagging a website or blog entry with semantic information or for retrieving summaries for web pages.
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The Topicalizer API now sports yet another method named getSemWeb, which build a web of related terms for a given term by making use of the Google API und Wikipedia.
The Topicalizer API now has a another new method called getCoOccurrences, which makes use of large corpora of different text categories in order to guess, which words co-occur most frequently with a given text.