• DocumentCode
    1878187
  • Title

    To stop or not to stop — Experiments on stopword elimination for information retrieval of Gujarati text documents

  • Author

    Joshi, Harshita ; Pareek, Jyoti ; Patel, Rahul ; Chauhan, K.

  • fYear
    2012
  • fDate
    6-8 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Words that frequently occur in a document but carry less significant meaning are called stopwords. Identification and removal of stopwords can result in effective indexing of documents. Mean average precision (MAP) is the metric used to measure the efficiency of information retrieval (IR) tasks. In this paper, we have experimented with elimination of Gujarati stopwords to measure the improvements in Adhoc monolingual information retrieval of Gujarati text documents. Results show that elimination of stopwords improve the MAP values of Gujarati IR.
  • Keywords
    indexing; information retrieval; natural language processing; text analysis; Gujarati IR; Gujarati stopwords; Gujarati text documents; MAP; adhoc monolingual information retrieval; document indexing; information retrieval tasks; mean average precision; stopword elimination; Automatic Indexing; Corpus; Gujarati Information Retrieval; Mean Average Precision; Stopwords;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering (NUiCONE), 2012 Nirma University International Conference on
  • Conference_Location
    Ahmedabad
  • Print_ISBN
    978-1-4673-1720-7
  • Type

    conf

  • DOI
    10.1109/NUICONE.2012.6493219
  • Filename
    6493219