CONCEPT BASED CATEGORIZATION OF DOCUMENTS FOR SEARCH ENGINES

Soumen Swarnakar, Sangita Karmakar

Abstract: Now days, information retrieval is a challenging work for search engines. In this paper we will discuss about text categorization. Text documents categorization is the process to classify documents according to some predefined knowledge. Documents with same concept are grouped together, and documents with different concept are formed other group according to their similarity of context of the documents. This grouping technique is called document categorization. So the related documents will be in same category and non related documents in other category. In this paper we have concentrated on the document context, according to their context, categorization process is done. So we are trying to propose Link base document categorization according to the document context of a particular concept. In this way we can retrieve the proper information about the document and also find about the document’s main concept and about what sub concept according to the percentage of weights of domains of a document. According to percentages of different concepts of different domain and indexing of documents, the categorization can be improved for information retrieval process of a search engine

Keywords: Context address, Mixture category, pure category, concept dictionary, Domain

DOI: https://doi.org/10.15623/ijret.2015.0410023