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A Detailed Study on Indian Languages Text Mining?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 11)

Publication Date:

Authors : ; ;

Page : 54-60

Keywords : TDIL; W3C; LLP; LIP; CLIP; Zipf’s Law;

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India is a country with huge population of over hundred and twenty seven core, who speaks different languages. Only 5% of Indian population can effectively communicate in English and rest 95% are comfortable with their regional languages. India is certainly one of the multilingual nations in the world today. In the Constitution of India, a provision is made for each of the Indian states to choose their own official language for communicating at the state level for official purpose. To penetrate the benefits of Communication and Information Technology up to common masses, the content is available in Indian language. In India, we are starting to see a growth in consumption of Indian language content, because of growth of electronic devices and technology. As these devices get cheaper, the internet is accessible in the smaller towns and rural parts of the country. So because of growth of internet, the demand for content in Indian language is also been rising. The availability of constantly increasing amount of textual data of various Indian regional languages in electronic form has accelerated. Not much work has been done in Indian languages text processing. The objective of this paper is to understand the following: Growth of data in Indian languages, Need of text mining for Indian languages, Literature survey on Indian language text mining, Application and so on

Last modified: 2014-11-08 23:37:57