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Preprocessing and Feature Selection Approach for Efficient Sentiment Analysis on Product Reviews

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Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 515))

Abstract

In the recent years opinion mining plays an important role by business analyst before launching a product. Opinion mining mainly concerns about detecting and extracting the feature from various opinion rich resources like review sites, discussion forum, blogs and news corpora so on. The data obtained from those are highly unstructured in nature and very large in volume, therefore data preprocessing plays an essential role in sentiment analysis. Researchers are trying to develop newer algorithm. This research paper attempts to develop a better opinion mining algorithm and the performance has been worked out.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Durgapur, West Bengal, India

    Monalisa Ghosh & Gautam Sanyal

Authors
  1. Monalisa Ghosh
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  2. Gautam Sanyal
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Corresponding author

Correspondence to Monalisa Ghosh .

Editor information

Editors and Affiliations

  1. ANITS, Prof., Comp. Sci. & Engg. Dept. ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg Dept. of ECE, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. SCIS, University of Hyderabad , Hyderabad, India

    Siba K. Udgata

  4. KIIT University, School of Computer Engineering KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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© 2017 Springer Nature Singapore Pte Ltd.

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Ghosh, M., Sanyal, G. (2017). Preprocessing and Feature Selection Approach for Efficient Sentiment Analysis on Product Reviews. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-10-3153-3_72

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  • DOI: https://doi.org/10.1007/978-981-10-3153-3_72

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3152-6

  • Online ISBN: 978-981-10-3153-3

  • eBook Packages: EngineeringEngineering (R0)

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