For the blessing of World Wide Web, the corpus of online information is gigantic in its volume. Search engines have been developed such as Google, AltaVista, Yahoo, etc., to retrieve specific information from this huge amount of data. But the outcome of search engine is unable to provide expected result as the quantity of information is increasing enormously day by day and the findings are abun...

Text classification is one of the important research issues in the field of text mining, where the documents are classified with supervised knowledge. In literature we can find many text representation schemes and classifiers/learning algorithms used to classify text documents to the predefined categories. In this paper, we present various text representation schemes and compare different class...

Text classification is one of the important research issues in the field of text mining, where the documents are classified with supervised knowledge. In literature we can find many text representation schemes and classifiers/learning algorithms used to classify text documents to the predefined categories. In this paper, we present various text representation schemes and compare different class...

Text classification is one of the important research issues in the field of text mining, where the documents are classified with supervised knowledge. In literature we can find many text representation schemes and classifiers/learning algorithms used to classify text documents to the predefined categories. In this paper, we present various text representation schemes and compare different class...

Several ontologies have been created in the last years for the semantic annotation of scholarly publications and scientific documents. This rich variety of ontologies makes it difficult for those willing to annotate their documents to know which ones they should select for such activity. This paper presents a classification and description of these state-of-the-art ontologies, together with the...

With the exponential growth of the web there has been explosive increase in the user generated contents in the form of customer reviews, blogs, discussion forums, social networks etc. Most of the contents are stored in the form of unstructured or semi structured data from where distillation of knowledge is a challenging task. In this paper we propose a feature wise opinion mining system which f...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Classical Information Retrieval is finding out of the documents most relevant to a user’s query, from a large store of documents. A search engine performs IR by retrieving relevant web documents from the internet. Cross Language Information Retriev...

This review considers the published collection of documents “History’s twists: distant and near past Southern Urals in archival documents” (Chelyabinsk, 2021). The book shows main milestones development territories that make up modern Chelyabinsk region.