OPINION MINING USING MULTI-DIMENSIONAL ANALYSIS

Satarupa Biswas, G. Poornalatha

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This review addresses emerging literature in the field of Opinion Mining with a particular emphasis on user-generated textual content. The focus is on the various tasks involved in Opinion Mining, which satisfies the comprehension of the essential criteria and methodologies that should be considered prior to embarking on the task. The paper provides an in-depth analysis of benchmarked datasets, widely-used feature sets, algorithms, techniques, open-source tools, challenges, real-world applications, and insights into various dimensions of Opinion Mining. The findings have both theoretical and practical implications, as it highlights the significance of Opinion Mining of textual content in comprehensive society. This review covers both technical and real-world knowledge and offers a comprehensive understanding of available open-source tools that are used in real-time.

Original languageEnglish
Pages (from-to)25906-25916
Number of pages11
JournalIEEE Access
Volume11
DOIs
Publication statusPublished - 2023

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Materials Science
  • General Engineering
  • Electrical and Electronic Engineering

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