 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19463
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Multimodal Sentiment Analysis: A Fusion of Text, Speech, and Facial Expression for Emotion Recognition |
| Authors Name: | Anjali , Dr. Saroj Kumar Gupta |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202947
|
| Published Paper Id: | IJRTI2504250 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | This paper investigates the integration of text, audio, and visual cues to improve emotion recognition accuracy. Traditional psychological analyses often face uncertainty, ambiguity, and changing definitions because they rely on a single model. This study proposed several approaches that combine natural language processing (NLP) for text analysis, speech recognition, and face recognition to achieve the desired results. Good. The system uses convolutional neural networks (CNNs) for image-based visualization, deep learning-based speech processing for voice recognition, and text-based text transformation. The concept of fusion model improves the accuracy of classification theory by leveraging the complementary insights of multiple models. Evaluation using comparative data shows that the system has the potential to outperform the worst and has potential for use in mental health care, customer service and analytics. |
| Keywords: | Multimodal SentimentAnalysis, Deep Learning, Emotion Recognition, NLP, Computer Vision |
| Cite Article: | "Multimodal Sentiment Analysis: A Fusion of Text, Speech, and Facial Expression for Emotion Recognition", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c226-c232, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504250.pdf |
| Downloads: | 000316 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2504250
Registration ID:202947
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c226-c232 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504250 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504250 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||