Author(s) :

Nimish Shinde Rutwik Amritkar 2, Sanket Bhamare 3 Pritesh Bhavaskar .

Volume/Issue :

Abstract :

The internet and social media platforms have made available massive quantities of information to users worldwide. Numerous internet sources are present on categorical views of activities, goods and services, beliefs or perhaps the mood created by the online dwellers. In this competitive business world, various industries especially e-commerce immensely use sentiment analysis to increase productivity and make better business decisions. Sentiment Analysis is an associate degree in the field of analytics which has proven to be one of the significant instruments to reveal actionable insights using very big text databases from plentiful domains. This paper tackles a comprehensive overview of sentiment analysis and relevant techniques in e-commerce sector that is always keen to find out about the consumers’ opinions of their goods and services. It starts with the notion of an assessment of sentiments that have emerged as a method for understanding clients’ emotions. It also describes the normal assignment engaged in methods of sentiment analysis, such as methods based on lexicon and monitored machine learning. However, sentiment analysis is applied within the retail business largely in the E-Commerce that allows the operators to enhance their business operation.

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