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Machine Learning Technique for Target-Based Sentiment Analysis

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Micro-Electronics and Telecommunication Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 179))

Abstract

The study covered with machine learning strategies utilized in the analysis of sentiments at both the sentence and viewpoint levels. It likewise tended to the advantages and inconveniences of the different condition of-the-craftsmanship procedures. This paper perceived that the arrangements viability contrasted by the technique. As far as estimation system, there is an absence of institutionalization. Accordingly, it is beyond the realm of imagination to expect to reach determinations from the present condition of-the-workmanship approaches where strategy gives the best result to every area. In any case, a move from the customary word-based way to deal with semantic-based idea driven methodology is obviously apparent in the measurement level sentiment analysis. Machine learning approaches alongside semantic idea driven methodology can create another age of calculations that can react to language and significant level settings. This gap will likewise leave an enormous region for the scientists to find out experimental and emotional views of a human

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Authors and Affiliations

  1. Madan Mohan Malviya University of Technology, Gorakhpur, India

    Jyoti Srivastava & Neha Katiyar

Authors
  1. Jyoti Srivastava
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  2. Neha Katiyar
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Corresponding author

Correspondence to Jyoti Srivastava .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ghaziabad, India

    Devendra Kumar Sharma

  2. Institute of Information Technology, Vietnam National University, Cay Giay, Vietnam

    Le Hoang Son

  3. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ghaziabad, India

    Rohit Sharma

  4. Department of Electrical and Electronics Engineering, Trakya University, Edirne, Turkey

    Korhan Cengiz

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Srivastava, J., Katiyar, N. (2021). Machine Learning Technique for Target-Based Sentiment Analysis. In: Sharma, D.K., Son, L.H., Sharma, R., Cengiz, K. (eds) Micro-Electronics and Telecommunication Engineering. Lecture Notes in Networks and Systems, vol 179. Springer, Singapore. https://doi.org/10.1007/978-981-33-4687-1_16

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  • DOI: https://doi.org/10.1007/978-981-33-4687-1_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4686-4

  • Online ISBN: 978-981-33-4687-1

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