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A review of recent advances in text mining of Indian languages

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  • Prabin Kumar Panigrahi
  • Nishikant Bele

Abstract

Text mining in English language has been researched extensively in past and significant amount of resources, tools and techniques have been developed. India is a country of high language diversity. A large amount of textual data is available in Indian languages. Knowledge can be discovered from this text by applying text-mining techniques. Due to the characteristics of Indian languages, tools, techniques and resources available for mining text in English language cannot be applied directly to text in Indian languages. We could not find any comprehensive literature describing the research work related to mining of text written in Indian languages. In this paper, we review the research work done so far, availability of language resources and various challenges of text mining tasks in Indian languages.

Suggested Citation

  • Prabin Kumar Panigrahi & Nishikant Bele, 2016. "A review of recent advances in text mining of Indian languages," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 23(2), pages 175-193.
    • Handle: RePEc:ids:ijbisy:v:23:y:2016:i:2:p:175-193
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    Cited by:

    1. Samuel Zanferdini Oliva & Livia Oliveira-Ciabati & Denise Gazotto Dezembro & Mário Sérgio Adolfi Júnior & Maísa Carvalho Silva & Hugo Cesar Pessotti & Juliana Tarossi Pollettini, 2021. "Text structuring methods based on complex network: a systematic review," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1471-1493, February.

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