Abstract
Sentiment analysis is also known as opinion mining. It is one of the critical and rapidly growing fields in Natural Language Processing. This research is intended to address the most fundamental difficulties relating to sentiment analysis. Sentiment polarity classification. A generic technique for categorizing sentiment polarity, along with detailed processes, is presented. The input data for this project is taken from major e-commerce websites like Amazon’s product ratings. Analyses on sentence-part classification and review-part categorization have shown promising results. At last, insights will be derived from preprocessed data for future execution and how much product structure and features impact execution. Created a significant impact on improving the business by producing a quality product, gadget, or accessory that customers expect and satisfying their expectations.
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Pandiaraja, P., Aishwarya, S., Indubala, S.V., Neethiga, S., Sanjana, K. (2022). An Analysis of E-Commerce Identification Using Sentimental Analysis: A Survey. In: Iyer, B., Crick, T., Peng, SL. (eds) Applied Computational Technologies. ICCET 2022. Smart Innovation, Systems and Technologies, vol 303. Springer, Singapore. https://doi.org/10.1007/978-981-19-2719-5_69
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