Improved Fuzzy and Neural Network Algorithms for Word Frequency Prediction in Document Filtering
Péter Bárányi, László Tamás Kóczy, T.D. Gedeon · Journal of Advanced Computational Intelligence and Intelligent Informatics · 1998
With very large document collections or high-volume document streams of , finding relevant documents is a major information filtering problem. An aid to information retrieval systems produces a word frequency measure estimated from 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 are proposed for this task. The comparison of these two and an alternative neural network algorithm are discussed.