INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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)
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.
Keywords:
Sentiment Analysis, BERT Model, Natural Language Processing, Emotion Detection, Text Classification, Social Media Analysis
Cite Article:
"Emotion Detection in Text : A Deep Learning Approach for Sentiment Analysis", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.b506-b516, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310156.pdf
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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
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