Abstract
In the twenty-first century, there is a need for a quick, effective, and automatic feedback analysis technique to understand client’s needs in real time. Growth of any business depends upon catering to customers’ needs as quickly as possible. The branch of computer science, which helps people to achieve their goals, is known as artificial intelligence and machine learning. This paper proposed one such mechanism to ease out sentiment analysis process. Artificial intelligence covers multiple algorithms ranging from simple SVM classifier to complex neural network. We present an innovative approach for analysing sentiments using hybrid cloud offering called natural language understanding, in which data from a social networking site is analysed. Apart from product review, this system is worthwhile for hospital feedback management system, food review analysis, and blood donation pattern finding.
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Ayare, P., Sachdeo, R., Penurkar, M. (2020). Product Sentiment Analysis Using Natural Language Understanding. In: Bansal, J., Gupta, M., Sharma, H., Agarwal, B. (eds) Communication and Intelligent Systems. ICCIS 2019. Lecture Notes in Networks and Systems, vol 120. Springer, Singapore. https://doi.org/10.1007/978-981-15-3325-9_10
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DOI: https://doi.org/10.1007/978-981-15-3325-9_10
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