There are numerous text documents available in electronic form. More and more are becoming available every day. Such documents represent a massive amount of information that is easily accessible. Seeking value in this huge collection requires organization; much of the work of organizing documents can be automated through text classification. The accuracy and our understanding of such systems gr...

Text classification in the medical domain is a real world problem with wide applicability. This paper investigates extensively the effect of text representation approaches on the performance of medical document classification. To accomplish this objective, we evaluated seven different approaches to represent real word medical documents. The text representation approaches investigated in this pa...

elamite documents, and evidence of elamite writing in general, are rare from this period. however from susa under the sukkalmah period, there are some 550 legal documents in akkadian in various legal subjects, like sale, lease, and judicial procedures; this provides the historian with a unique opportunity fir the study of elamite legal and social institutions. the present essay will edit and tr...

The development of text classification techniques has been largely promoted in the past decade due to the increasing availability and widespread use of digital documents. Usually, the performance of text classification relies on the quality of categories and the accuracy of classifiers learned from samples. When training samples are unavailable or categories are unqualified, text classification...

Practical text classification system should be able to utilize information from both expensive labelled documents and large volumes of cheap unlabelled documents. It should also easily deal with newly input samples. In this paper, we propose a random walks method for text classification, in which the classification problem is formulated as solving the absorption probabilities of Markov random w...

The motivation of this study is to enhance general topical search with a sentiment-based one where the search results (called snippets) returned by the Web search engine are clustered by sentiment categories. Firstly we developed an automatic method to identify product review documents using the snippets (summary information that includes the URL, title, and summary text), which is considered a...

Automated text classification has been considered as a vital method to manage and process a vast amount of documents in digital forms that are widespread and continuously increasing. In general, text classification plays an important role in information extraction and summarization, text retrieval, and questionanswering. This paper illustrates the text classification process using machine learn...

Text documents stored in information systems usually consist of more information than the pure concatenation of words, i.e., they also contain typographic information. Because conventional text retrieval methods evaluate only the word frequency, they miss the information provided by typography, e.g., regarding the importance of certain terms. In order to overcome this weakness, we present an ap...