Publication Type : Conference Paper
Publisher : 2020 International Conference on Communication and Signal Processing (ICCSP), IEEE
Source : 2020 International Conference on Communication and Signal Processing (ICCSP), IEEE, Chennai, India (2020)
Url : https://ieeexplore.ieee.org/document/9182198
Keywords : Levenshtein distance., NLP, product review, Sentiment classification
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2020
Abstract : E-commerce platform has brought about a revolutionary change in the way people conduct shopping. In India, the number of digital buyers in 2016 was 130.4 million and by 2021 the number is estimated to increase to around 400 million. In this paper we propose a Levenshtein distance based sentiment classification engine that reads the reviews across different websites for a given product, eventually providing a metric that would help the user in making an informed choice of product.
Cite this Research Publication : Anjali T., T R Krishnaprasad, and P Jayakumar, “A Novel Sentiment Classification of Product Reviews using Levenshtein Distance”, in 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020.