Conceptual grouping in word co-occurrence networks
Anne Veling, Peter De Weerd · 1999
Information Retrieval queries often result in a large number of documents found to be relevant. These documents are usually sorted by rele-vance, not by an analysis of what the user meant. If the document collection contains many docu-ments on one of those meanings, it is hard to find other documents. We present a technique called conceptual grouping that automatically distinguishes be-tween different meanings of a user query, given a document collection. By analysing a word co-occurrence network of a text database, we are able to form groups of words related to the query, grouped by semantic coherence. These