Challenges in Retaining Talent Post Merger & Acquisition in India: A Literature Review

  • Kumar Singh A
  • Chitranshi D
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Abstract

Stemming maps morphologically related words to a common stem or root word by removing their suffixes or prefixes. It is basically an operation that reduces inflected word to its root form, but it is not necessary that stemming always provide us relevant and meaningful root word. For example word न in Hindi has a suffix ि◌य if we remove this suffix from the word then it becomes नद (nadh), which is not a proper Hindi word. So, to overcome this problem, a stemming algorithm is proposed that uses Hybrid approach (combination of Brute Force Approach, Suffix Stripping Approach and Suffix Substitution).This stemming algorithm will be implemented for Hindi Noun words and further we extend this algorithm to other categories of Hindi words like verb, adverb, adjective . Results of this proposed algorithm will be implemented on Web based Interface.

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Kumar Singh, A., & Chitranshi, Dr. J. (2016). Challenges in Retaining Talent Post Merger & Acquisition in India: A Literature Review. International Journal of Innovative Research in Computer and Communication Engineering, 4(10), 17145–17152. https://doi.org/10.15680/ijircce.2016.0410007

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