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A Prototype for Sentiment Analysis Using Big Data Tools

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Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 775))

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Abstract

The Big Data is referred to a massive accumulation of digital data generated in each and every second in structured, semi-structured and unstructured format throughout the world. The rising field of big data analytic has driven the researcher worldwide toward design, development and implementation of various tools, technologies, architecture and platforms for analyzing the huge volume of data generated day to day. Big data consist of data sets which is difficult for legacy database management system to analysis. This paper details some analysis like sentiment analysis, feedback analysis. Sentiment analysis also known as opinion mining, is a process of getting views of public from feedback or review. Opinion are central to almost all human activities because they are key influencer of our behavior. Sentiment analysis is the task of identifying positive, negative or even neutral opinion. Feedback is detail about reaction to a product, a person performance of a task, etc. that can be used as a basis for enhancement. Feedback are chief means for the system enrichment, finding ambiguities and as well as for proper work distribution. Feedback can be used as a tool to draw proper decision, it is important not only when it highlights weaknesses but also for strengths. Since the feedback can induce both positive and negative, it is mandate to be careful when drawing any conclusion as improper analysis can produce wrong results. As a result the enhancements done will also be wring in the new system. We will be implementing this proposed system for sentiment analysis using Map-Reduce framework for processing large data set and for storage we will use Hadoop.

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Authors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Orissa, India

    Kusum Yadav, Siddharth Swarup Rautaray & Manjusha Pandey

Authors
  1. Kusum Yadav
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  2. Siddharth Swarup Rautaray
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  3. Manjusha Pandey
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Corresponding author

Correspondence to Kusum Yadav .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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Yadav, K., Rautaray, S.S., Pandey, M. (2017). A Prototype for Sentiment Analysis Using Big Data Tools. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 775. Springer, Singapore. https://doi.org/10.1007/978-981-10-6427-2_9

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  • DOI: https://doi.org/10.1007/978-981-10-6427-2_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6426-5

  • Online ISBN: 978-981-10-6427-2

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