@conference {
    orvium-644e1164f7fad57665a85099,
    title = "Sentiment Analysis Using Streaming Analytics for Customer 360 Decision Support Approach: A Case Study in Insurance Industry",
    abstract = "In the current world, every day, we are dealing with one or other insurance products like auto insurance, property insurance, health insurance or life insurance, etc. The world produces 2.5 quintillion bytes of data every day, and the insurance and financial industry produces 1 quintillion bytes of data (Marr, 2019). So, natural language processing is the key to finding a sense of this volume of data. In this paper, we are trying to explain real-time data streaming. We will evaluate the importance of sentiment analysis using cloud-based natural language processing (NLP) and how it shapes the insurance industry by providing a 360-degreeview of the customer decision support system.",
    keywords = "nsurance, Azure Cloud, Natural Language processing, decision support, 360-degreeview, Stream Analytics, deep learning",
    author = "Bibhu Dash",
    year = "2023",
    language = "English",
    url = "https://dapp.orvium.io/deposits/644e1164f7fad57665a85099/view",
}