THE ANALYSIS OF METHODS OF INFORMATION QUALIFICATION IN INTERNET DURING SOLVING PROBLEMS OF INFORMATION SEARCH
Due to the fact that the Internet stores a large amount of information must be used effective methods of search. The characteristics inherent in job search, are the completeness, reliability and high speed. These characteristics can be achieved with the use of appropriate methods of classification. The article considers several approaches. The cluster method is based on partitioning elements of the set into groups. The distance between the elements is set to metric. Linguistic analysis based on the ability to extract information from the text. The scheme of linguistic processing. Statistical approaches proceed from the specific patterns frequency of the meeting words. Symptom analysis is the study of the morphemic, morphological and syntactic features of words and sentences in the text. Semantic analysis is the analysis of the text concerning the meaning of the words inside it. The combined approach involves the use of several of the above approaches in tandem, series, or parallel, to increase the accuracy of the analysis. Depending on the emerging challenges, will be useful for the appropriate method of classification.
Keywords: information search, Internet, statistics, classification, semantics, sign, metric, the word.