• DocumentCode
    713053
  • Title

    Text mining: Challenges and future directions

  • Author

    Akilan, A.

  • Author_Institution
    Dept. of Inf. Technol., Annai Coll. of Arts & Sci., Kumbakonam, India
  • fYear
    2015
  • fDate
    26-27 Feb. 2015
  • Firstpage
    1679
  • Lastpage
    1684
  • Abstract
    In today´s world, the amount of stored information has been enormously increasing day by day which is generally in the unstructured form and cannot be used for any processing to extract useful information, so several techniques such as summarization, classification, clustering, information extraction and visualization are available for the same which comes under the category of text mining. Text Mining can be defined as a technique which is used to extract interesting information or knowledge from the text documents. Text mining, also known as text data mining or knowledge discovery from textual databases, refers to the process of extracting interesting and non-trivial patterns or knowledge from text documents. Regarded by many as the next wave of knowledge discovery, text mining has very high commercial values.
  • Keywords
    data mining; document handling; pattern classification; pattern clustering; classification; clustering; information extraction; information visualization; knowledge discovery; summarization; text data mining; text documents; textual databases; Databases; Information retrieval; Internet; Knowledge discovery; Semantics; Text mining; Text mining; data mining; knowledge discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-7224-1
  • Type

    conf

  • DOI
    10.1109/ECS.2015.7124872
  • Filename
    7124872