Specialized neural network and fuzzy logic algorithm in comparison for word frequency prediction in document filtering
Péter Bárányi, Petra Aradi, László Tamás Kóczy, T.D. Gedeon · 2002
For very large document collections or high volume streams of documents, finding relevant documents is a major information filtering problem. A major aid to information retrieval systems produces a word frequency measure estimated from some important parts of the document using neural network approaches. In this paper a fuzzy logic technique and as its simplified case a neural network algorithm will be proposed for this task. The comparison of these two and an alternative neural network algorithm will also be discussed.