Information retrieval systems offer an attractive alternative to construction of a topic tracking system from scratch. The freely available PRISE vector space text retrieval system was applied to the TDT-2 topic tracking task. A simple version of the Rocchio formula was used for profile formulation and a retrieval status value threshold was used in conjunction with a temporal cutoff to make har...

with the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. one of the major problems in text classification relates to the high dimensional feature spaces. therefore, the main goal of text classification is to reduce the dimensionality of features space. there are many feature selection methods. however...

Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...

Text Categorization algorithms have a large number of parameters that determine their behaviour, whose effect is not easily predicted objectively or intuitively and may very well depend on the corpus or on the document representation. Their values are usually taken over from previously published results. In this article we investigate the effect of parameter tuning on the accuracy of two Text C...

Due to the permantently growing amount of textual data, automatic methods for organizing the data are needed. Automatic text classification is one of this methods. It automatically assigns documents to a set of classes based on the textual content of the document. Normally, the set of classes is hierarchically structured but today’s classification approaches ignore hierarchical structures, ther...

Information extraction, retrieval, and text categorization are only a few of the significant research fields covered by "bio medical classification." This study examines many techniques utilised in practise, as well their strengths weaknesses, order to improve knowledge various information extraction opportunities field data mining. We compiled dataset with focus on three categories: "Thyroid C...