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)
Businesses often underestimate the power of customer care or customer support to grow their revenues. Customers often receive generic responses that do not address their specific needs or emotions, leading to a lack of connection and dissatisfaction. Long wait times and slow response times can be frustrating for customers and lead to decreased satisfaction. Moreover poorly trained customer service agents can struggle to handle complex customer inquiries and provide adequate support, leading to dissatisfaction. They may not be able to accurately detect the emotional state of the customer, leading to an inappropriate response and further dissatisfaction. This can lead to shutting down of businesses. This paper proposes a system to provide a more personalized and empathetic response to customers by building a model using MLP Classifier. We are optimistic that our system based on MLP Classifier is more reliable as compared to the rest of the models available currently
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"Application Based Speech Emotion Recognition System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i645-i647, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305873.pdf
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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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