Emotion Detection in Text : A Deep Learning Approach for Sentiment Analysis

Emotion Detection in Text : A Deep Learning Approach for Sentiment Analysis

Registration ID: IJNRD_206851

Published ID: IJNRD2310156

DOI: Click Here to Get

Prince Patel , Dhara Patel , Madhvi Bera

Sentiment Analysis, BERT Model, Natural Language Processing, Emotion Detection, Text Classification, Social Media Analysis

Emotion detection in text, a key part of sentiment analysis, plays a vital role in understanding human emotions and opinions expressed in diverse textual formats, such as social media posts, customer reviews, and chat interactions. Deep learning techniques have shown great promise in this field due to their ability to learn complex patterns from text data. This paper presents a comprehensive exploration of deep learning methodologies for emotion detection in text. We curate a carefully annotated dataset and use the advanced BERT architecture to build a robust emotion detection system. Our empirical findings demonstrate the effectiveness of our approach, revealing that it outperforms traditional machine learning methods. Additionally, we investigate the interpretability of the model's predictions, shedding light on the mechanisms that underpin emotion attribution to textual content. Our research contributes significantly to the field of natural language processing, advancing our understanding of emotion detection via deep learning and providing valuable tools for applications such as social media monitoring, customer feedback analysis, and mental health support.

Published Paper   E-Certificate

"Emotion Detection in Text : A Deep Learning Approach for Sentiment Analysis", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 10, page no.b506-b516, October-2023, Available :https://ijnrd.org/papers/IJNRD2310156.pdf

Volume 8 Issue 10, October-2023

Pages : b506-b516

Paper Reg. ID: IJNRD_206851

Published Paper Id: IJNRD2310156

Downloads: 000121237

Research Area: Computer Science & Technology 

Country: Ahmedabad, Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310156.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310156

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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