Sentiment wEight of N-grams in Dataset (SEND): A Feature-set for Cross-domain Sentiment Classification. - Atanu Dey; Mamata Jenamani; Jitesh J. Thakkar (ICAPR, 2017)

Lexical TF-IDF: An n-gram Feature Space for Cross-Domain Classification of Sentiment Reviews. - Atanu Dey; Mamata Jenamani; Jitesh J. Thakkar (PReMI, 2017)

Senti-N-Gram: An n-gram lexicon for sentiment analysis. - Atanu Dey; Mamata Jenamani; Jitesh J. Thakkar (Expert Syst. Appl., 2018)

Cross-D-vectorizers: a set of feature-spaces for cross-domain sentiment analysis from consumer review. - Atanu Dey; Mamata Jenamani; Jitesh J. Thakkar (Multim. Tools Appl., 2019)

An Efficient Approach for Findings Document Similarity Using Optimized Word Mover's Distance. - Atanu Dey; Mamata Jenamani; Arijit De (PReMI, 2023)

An Unsupervised Deep Learning Model for Aspect Retrieving Using Transformer Encoder. - Atanu Dey; Mamata Jenamani; Arijit De (SAI (2), 2024)

Aspect based sentiment analysis of consumer reviews using unsupervised attention neural framework. - Atanu Dey; Mamata Jenamani (Appl. Soft Comput., 2024)

Correction to: A framework for analyzing consumer satisfaction using deep learning and expectation-confirmation theory: with illustration of refurbished laptops. - Atanu Dey; Mamata Jenamani (Int. J. Data Sci. Anal., 2025)