Opinion Mining Using Multi-Dimensional Analysis

Article Properties
  • DOI (url)
    10.1109/access.2023.3256521
  • Publication Date
    2023/01/01
  • Journal
    IEEE Access
  • Indian UGC (journal)
  • Refrences
    78
  • Satarupa Biswas Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India
  • G. Poornalatha Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India ORCID (unauthenticated)
Cite
Biswas, Satarupa, and G. Poornalatha. “Opinion Mining Using Multi-Dimensional Analysis”. IEEE Access, vol. 11, 2023, pp. 25906-1, https://doi.org/10.1109/access.2023.3256521.
Biswas, S., & Poornalatha, G. (2023). Opinion Mining Using Multi-Dimensional Analysis. IEEE Access, 11, 25906-25916. https://doi.org/10.1109/access.2023.3256521
Biswas S, Poornalatha G. Opinion Mining Using Multi-Dimensional Analysis. IEEE Access. 2023;11:25906-1.
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Science (General)
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Information theory
Technology
Electrical engineering
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Technology
Electrical engineering
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Electric apparatus and materials
Electric circuits
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Telecommunication
Refrences
Title Journal Journal Categories Citations Publication Date
The impact of political party/candidate on the election results from a sentiment analysis perspective using #AnambraDecides2017 tweets 2020
Optimization of sentiment analysis for Indonesian presidential election using naíve Bayes and particle swarm optimization 2020
Public opinion mining for governmental decisions 2010
Language-independent Twitter sentiment analysis
Detecting aggressiveness in Mexican Spanish social media content by fine-tuning transformer-based models