Abstract
Sentimental Analysis for products and services available on various e-commerce website and applications has been an important and crucial research task in current era. With the ease of e-commerce and m-commerce every seller tries to show their service and products by promoting on various platforms. Opinion mining, as well referred as sentiment analysis, is a significant element in natural language processing. It is used to evaluate what individuals or audiences consider about the products and services currently offered on collective media channels or social media platforms or e-commerce sites. To detect sentimental polarity a better method should be chosen. We have reviewed some of the research work, those have been tested and proven as good research work for sentimental analysis, as reviews of any products are available on website or applications related to products or services. But it is difficult to find out sentiments when large number of reviews from various sources are collected. You can find different reviews from different sources. There are lakhs of products reviews and services available on various e-commerce portal. To check manually review is difficult task. An automated review system without bios is need of the time.
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Patel, A., Chauhan, A., Vaghasia, M. (2022). A Survey on E-Commerce Sentiment Analysis. In: Jacob, I.J., Kolandapalayam Shanmugam, S., Bestak, R. (eds) Expert Clouds and Applications. Lecture Notes in Networks and Systems, vol 444. Springer, Singapore. https://doi.org/10.1007/978-981-19-2500-9_6
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DOI: https://doi.org/10.1007/978-981-19-2500-9_6
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