“BOMEST” a Vital Approach to Extract the Propitious Information from the Big Data

  • V. K. Jain
  • Deepali Virmani
  • Preeti Arora
  • Ankit Arora
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 9)


Cost-effective, innovational methods to extract information and to provide analytic solutions for intensify perspicacity is one of the biggest challenge of big data. So an effective system to extract the accurate information is required for big data. Thus, in this paper, an efficient system to extract the propitious information from the raw big data (BOMEST) is proposed. Proposed BOMEST works by taking the raw data, preprocesses it, and extracts the accurate information based on polarity assigned using POS tagging. BOMEST is applied on the twitter dataset. BOMEST algorithm enhances and improves the accuracy of results by 78% as compared to existing lexicon approach.


Big Data Twitter Rest API Sentiments Bag-of-words POS NLP and polarity 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • V. K. Jain
    • 1
  • Deepali Virmani
    • 2
  • Preeti Arora
    • 2
  • Ankit Arora
    • 3
  1. 1.COER School of ManagementRoorkeeIndia
  2. 2.Bhagwan Parshuram Institute of TechnologyNew DelhiIndia
  3. 3.Mindfire SolutionsNoidaIndia

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