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Abstract

EMPLOYABILITY OF THE ARTIFICIAL INTELLIGENCE LINKED SENTIMENT ANALYSIS IN VARIOUS ECOMMERCE MODELS

Somya Panchal

Gargi College, University of Delhi

53 - 55
Vol. 9, Jan-Jun, 2020
Receiving Date: 2020-02-02
Acceptance Date: 2020-04-18
Publication Date: 2020-04-27
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Abstract

Understanding customers has become harder with the rise of e-commerce, desires and requirements. One way to better comprehend clients is to investigate their criticism of items and administrations. The powerful sentiment analysis technique can be used to gain insight into customers' thoughts and feelings about goods and services. A "Happy Shopping" application employs sentiment analysis to examine customer feedback regarding goods and services. A summary of the most frequently expressed customer sentiments regarding each product or service will be displayed on the interface. Because of this, customers will be able to rely on the opinions of other customers to make better purchasing decisions. In conclusion, the "Happy Shopping" project aims to use sentiment analysis to improve an e-commerce platform's customer experience. Customers will gain valuable insight into other customers through the projectsentiments about products and services, as well as enhancing services for customer support.


Keywords: artificial intelligence, sentiment analysis; e-commerce models


References
  1. Liu, B. (2012). Sentiment analysis and opinion mining. Synthesis lectures on human language technologies, 5(1), 1-167.
  2. Aggarwal, C. C., &Zhai, C. (2012). Mining Text Data. Springer Science & Business Media
  3. Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135.
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