UNLABELLED Undescended testis is a common finding in boys, and the majority of cases have no discernible aetiology. There are unexplained geographical differences and temporal trends in its prevalence. Cryptorchidism, especially bilateral, is associated with impaired spermatogenesis and endocrine function and increases the risk of testicular cancer. There is an urgent need to identify factors t...

The natural distribution of textual data used in text classification is often imbalanced. Categories with fewer examples are under-represented and their classifiers often perform far below satisfactory. We tackle this problem using a simple probability based term weighting scheme to better distinguish documents in minor categories. This new scheme directly utilizes two critical information rati...

Many term weighting methods are suggested in the literature for Information Retrieval and Text Categorization. Term weighting method, a part of feature selection process is not yet explored for URL classification problem. We classify a web page using its URL alone without fetching its content and hence URL based classification is faster than other methods. In this study, we investigate the use ...

In this paper, we propose an efficient text classification method using term projection. Firstly, we use a modified χ statistic to project terms into predefined categories, which is more efficient compared to other clustering methods. Afterwards, we utilize the generated clusters as features to represent the documents. The classification is then performed in a rule-based manner or via SVM. Expe...

The text classification problem for natural language call routing was considered in the paper. Seven different term weighting methods were applied. As dimensionality reduction methods, the feature selection based on self-adaptive GA is considered. k-NN, linear SVM and ANN were used as classification algorithms. The tasks of the research are the following: perform research of text classification...

In this paper we present an approach to term classification based on verb complementation patterns. The complementation patterns have been automatically learnt by combining information found in a corpus and an ontology, both belonging to the biomedical domain. The learning process is unsupervised and has been implemented as an iterative reasoning procedure based on a partial order relation indu...

An ontology can be seen as a representation of concepts in a specific domain. Accordingly, ontology construction can be regarded as the process of organizing these concepts. If the terms which are used to label the concepts are classified before building an ontology, the work of ontology construction can proceed much more easily. Part-of-speech (PoS) tags usually carry some linguistic informati...