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Paper Title: A survey of pattern discovery methods for Text Mining
Authors Name: Mrs.Neha Sangram Patil
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Published Paper Id: IJNRD1802004
Published In: Volume 3 Issue 2, February-2018
Abstract: Too many data mining methods are used to mine useful patterns from text documents. Accurate and exact knowledge in the text documents is needed for user to find what they wish. Text mining is discovery of interesting knowledge in text documents. Using and updating discovered patterns is still open research issue. Lot of term based methods are present but disadvantage with these methods is that they suffer from problem of polysemy and synonymy. To overcome these disadvantages pattern mining methods are suggested. Because of low frequency and pattern misinterpretation problem, pattern mining methods are not proved to be better than term based methods. An effective pattern discovery technique is suggested which includes processes of pattern deploying to overcome misinterpretation problem and pattern evolving to overcome low frequency problem. This improves performance of modifying discovered patterns and finding interesting and relevant information in text mining.
Keywords: Text mining, pattern evolving, pattern mining, text classification
Cite Article: "A survey of pattern discovery methods for Text Mining", International Journal of Novel Research and Development (, ISSN:2456-4184, Vol.3, Issue 2, page no.13-15, February-2018, Available :
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