Designing Information Retrieving System Of Text Documents Using Neural Network,

The goal in this paper is to design a system according to the artificial neural network and the natural language processing in order to retrieve the text documents related to the keyword asked by the user. This model is done on English words and according to a linguistic and contextual procedure. The neural network model has fully learnt the linguistic structure of words and can produce the user’s desired document. Even if there can be some misspellings and faults, this model can extract the needed document. Although the general framework of this system is also possible through the routine code writing (programming), the neural network system considers the possibility of faults and improves the system function

Information Retrieval, Perceptron Artificial Neural Network, Error Backpropagation