文章基本信息

标题：An Efficient Extraction of Data in Biomedical Using Stemming Algorithm
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作者：A.Srinivas ; V.Sudheer Goud ; J.Stalin Babu 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：5
页码：1941-1944
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Now days Text Mining is a term which is currently being used to mean various things by various people. In my paper it has been used to refer to any process of Extracting information using Successor Variety Stemmer Algorithm to extract in patterns in Biomedical Text Mining and it is useful in research areas such as information extraction, information retrieval, natural language processing. Natural language processing uses some level of underlying linguistic representation of text, to make sure that the generated text is grammatically correct and fluent. Information retrieval involves directly with text mining process by extracting useful information from the texts. Information Extraction deals with the extraction of specified entities, events and relationships from unrestricted text sources. The primary resource for biomedical text mining is obviously based on text given by doctors and this may be used to introduce some widely-used text collections in the biomedical domain fields. The original conception of literature-based discovery was facilitated by the use of Medical Subject Headings to extract biomedical information, which are controlled vocabulary terms added to bibliographic citations during the process of med liner – indexing.
关键词：Text Mining; Successor Variety Stemmer; Medical Subject Headings biomedical; Information Retrieval; Natural Language Processing.