Sentiment Analysis of E-commerce Consumer Based on Product Delivery Time Using Machine Learning-Reference-Cited by-同舟云学术

Sentiment Analysis of E-commerce Consumer Based on Product Delivery Time Using Machine Learning

Published:2022 Issue: Volume: Page:649-661
ISSN:2367-4512
Container-title:Machine Intelligence and Data Science Applications
language:
Short-container-title:

Author:

Jahan Hasnur,Kowshir Bitto Abu,Shohel Arman Md.,Mahmud Imran,Fahad Hossain Shah,Moni Saha Rakhi,Shohug Md. Mahfuj Hasan

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2347-0_51

Reference18 articles.

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2. Yang L, Li Y, Wang J, Sherratt RS (2020) Sentiment analysis for E-commerce product reviews in Chinese based on sentiment lexicon and deep learning. IEEE Access 8:23522–23530

3. Noor F, Bakhtyar M, Baber J (2019) Sentiment analysis in e-commerce using svm on roman urdu text. In: International conference for emerging technologies in computing, pp 213–222 Springer, Cham

4. Kumar S, Yadava M, Roy PP (2019) Fusion of EEG response and sentiment analysis of products review to predict customer satisfaction. Inf Fus 52:41–52

5. Zhao H, Liu Z, Yao X, Yang Q (2021) A machine learning-based sentiment analysis of online product reviews with a novel term weighting and feature selection approach. Inf Process Manage 58(5):10265

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