Sales Forecasting of Overrated Products: Fine Tuning of Customer’s Rating by Integrating Sentiment Analysis-Reference-Cited by-同舟云学术

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Sales Forecasting of Overrated Products: Fine Tuning of Customer’s Rating by Integrating Sentiment Analysis

Published:2024 Issue: Volume:12 Page:69578-69592
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ghosh Partha¹^ORCID,Samanta Oendrila¹^ORCID,Goto Takaaki²^ORCID,Sen Soumya³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Academy of Technology, Aedconagar Hooghly, West Bengal, India

2. Faculty of Information Sciences and Arts, Toyo University, Kawagoe, Japan

3. A. K. Choudhury School of Information Technology, University of Calcutta, Kolkata, India

Funder

Toyo University, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10531712.pdf?arnumber=10531712

Reference39 articles.

1. An Improved Demand Forecasting with Limited Historical Sales Data

2. Framework of dynamic recommendation system for e-shopping

3. Short term load forecasting using artificial neural network

4. Text Mining of Business News for Forecasting

5. Effective Demand Forecasting Model Using Business Intelligence Empowered With Machine Learning

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