Atanu Dey

Orcid: 0000-0003-3477-3901

According to our database1, Atanu Dey authored at least 11 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Consumer Sentiment-Driven Product Ranking Using a Feature-Level Deep Learning Approach: The Case of New and Refurbished Laptops.
IEEE Trans. Engineering Management, 2026

2025
A framework for analyzing consumer satisfaction using deep learning and expectation-confirmation theory: with illustration of refurbished laptops.
Int. J. Data Sci. Anal., September, 2025

Correction to: A framework for analyzing consumer satisfaction using deep learning and expectation-confirmation theory: with illustration of refurbished laptops.
Int. J. Data Sci. Anal., January, 2025

2024
Aspect based sentiment analysis of consumer reviews using unsupervised attention neural framework.
Appl. Soft Comput., 2024

An Unsupervised Deep Learning Model for Aspect Retrieving Using Transformer Encoder.
Proceedings of the Intelligent Computing, 2024

Achieving Sustainability in Food Supply Chains: an Industry Case Comparison.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2024

2023
An Efficient Approach for Findings Document Similarity Using Optimized Word Mover's Distance.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023

2019
Cross-D-vectorizers: a set of feature-spaces for cross-domain sentiment analysis from consumer review.
Multim. Tools Appl., 2019

2018
<i>Senti-N-Gram</i>: An <i>n</i>-gram lexicon for sentiment analysis.
Expert Syst. Appl., 2018

2017
Lexical TF-IDF: An n-gram Feature Space for Cross-Domain Classification of Sentiment Reviews.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Sentiment wEight of N-grams in Dataset (SEND): A Feature-set for Cross-domain Sentiment Classification.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017


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