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Envisioning Social Media Information for Big Data Using Big Vision Schemes in Wireless Environment

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Abstract

The social media offers the firms the capability to assess the feelings towards the contexts and the actions related to them in the real time. Additionally, the initial demarche of the sentiment assessment is the pre-processing of information gathered from the social media. Several prevailing analysis is focused on dealing with the social media by mining fresh characteristics in relation to the sentiment. The objective is to offer the employment of Twitter in a number of designed topics which is the immense social networking sites where the Twitter information is constantly escalating at immense ratio every day which regards it as Big Data source. Followed by which the mechanism is Big Data scheme like infosphere big vision permits the processing of information which is initially gathered from the social networks by Apache Flume and hoarded in Hadoop storage. Moreover, the intention is to combine the perceptions of these assessment outcomes employing big sheets. The assessment based on these investigations approves the Big Data platform creates improved outcomes in terms of assessing the social media.

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Authors and Affiliations

  1. V.R.S. College of Engineering and Technology, Villupuram, India

    M. BalaAnand

  2. SNS College of Engineering, Coimbatore, India

    N. Karthikeyan

  3. SNS College of Technology, Coimbatore, India

    S. Karthik

Authors
  1. M. BalaAnand
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  2. N. Karthikeyan
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  3. S. Karthik
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Correspondence to M. BalaAnand.

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BalaAnand, M., Karthikeyan, N. & Karthik, S. Envisioning Social Media Information for Big Data Using Big Vision Schemes in Wireless Environment. Wireless Pers Commun 109, 777–796 (2019). https://doi.org/10.1007/s11277-019-06590-w

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