International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,April 2018,

Topic : An Overview of Text Mining and Its Techniques

Authors:M.Kalpana || Dr.S.Nagaprasad, Dr.Manju Khari

Abstract:In KDD data Mining step is generally involved with the pattern detection in numeric knowledge, however fairly often necessary (e.g., important to business) data is hold on within the kind of text. Unlike numeric knowledge, text is usually unstructured, and troublesome to handle. Text mining normally incorporates of the analysis of text documents with the extraction of key phrases, concepts, etc. and also the training of the text practice therein way for additional analysis with lot of data Mining approaches. In explorative knowledge Analysis, some initial information is understood regarding the info, however data mining might facilitate in a very a lot of in-depth information regarding the info. Seeking information from huge knowledge is one amongst the primary attributes of knowledge mining. Manual data investigation about for an only some periods currently, however it creates a bottleneck for big data analysis. Variety of information retrieval techniques measure developed to extract this huge quantity of knowledge. Previous studies on data processing specialized in structured knowledge, like relative and transactional knowledge. Conversely, in certainty, a substantial section of the data is hold on in text databases that consist of enormous collections of documents from varied sources, like news articles, books, digital libraries and web content..

Keywords: Text Mining, IE, IR, NLP

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DOI: 01.1617/vol5/iss4/pid23014


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Dr. Allon Guez
Professor, Drexel University,
USA


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Journal Code : IJERCSE
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