IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

EMOTION BEYOND WORDS: A MULTIDIMENSIONAL SENTIMENT INTELLIGENCE MODEL

A.Sathvika B. Udaya Sri P. Keerthi Sree GY. Shashank

Dr Pandi Chiranjeevi

Department of CSE(Data Science) ACE Engineering College India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Traditional approaches are based heavily on sentiment polarity classification. This type of classification allows for the grouping of opinions as ”positive,” ”negative,” or ”neutral”; however, while effective for the implementation of a ba sic opinion mining strategy, this rudimentary classification fails to identify the large amounts of diverse, rich, and emotional data necessary for understanding the huge volume and variety of sentiments being expressed by human beings through large amounts of unstructured data. Growth of social media, online reviews, and digital communication has presented a need for advanced Multidimensional Sentiment Intelligence Systems capable of detecting complex, multidimensional emotional patterns in large heterogeneous data sources.

How to Cite this Paper

A.Sathvika, , Sri, B. U., Sree, P. K. & Shashank, G. (2026). Emotion Beyond Words: A Multidimensional Sentiment Intelligence Model. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.164

A.Sathvika, , et al.. "Emotion Beyond Words: A Multidimensional Sentiment Intelligence Model." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.164.

A.Sathvika, ,B. Sri,P. Sree, and GY. Shashank. "Emotion Beyond Words: A Multidimensional Sentiment Intelligence Model." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.164.

Search & Index

References


  1. Zhao, K. Liu, and L. Xu, “Sentiment analysis: Mining opinions, sentiments, and emotions,” 2016.

  2. Medhat, A. Hassan, and H. Korashy, “Sentiment analysis algorithms and applications: A survey,” Ain Shams engineering journal, vol. 5, no. 4, pp. 1093 1113, 2014.

  3. Rad, C. Costache-Colareza, R.-V. Paraschiv, and L. Gavrila-Ardelean, “Synthetic emotions and the il lusion of measurement: A conceptual review and critique of measurement paradigms in affective sci ence,” Brain Sciences, vol. 15, no. 9, p. 909, 2025.

  4. Wang, Y. Wang, D. He, Z. Yu, Y. Li, L. Wang, J. Dang, and D. Jin, “Elevating knowledge-enhanced entity and relationship understanding for sarcasm de tection,” IEEE Transactions on Knowledge and Data Engineering, 2025.

  5. Kusal, S. Patil, J. Choudrie, K. Kotecha, D. Vora, and I. Pappas, “A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detec tion,” Artificial Intelligence Review, vol. 56, no. 12, pp. 15129–15215, 2023.

  6. T. Kokab, S. Asghar, and S. Naz, “Transformer based deep learning models for the sentiment analy sis of social media data,” Array, vol. 14, p. 100157, 2022.

  7. Cambria and A. Hussain, “Sentic computing: A common-sense-based framework for concept-level sentiment analysis; 2015; cham, switzerland.”

  8. Esmaeilzadeh, M. Heidari, R. Abdolazimi, P. Ha jibabaee, and M. Malekzadeh, “Efficient large scale nlp feature engineering with apache spark,” in 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0274–0280, IEEE, 2022

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 08 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top