A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerce

no code implementations • 12 Mar 2024 • Tuhin Subhra De, Pranjal Singh, Alok Patel

In the context of developing nations like India, traditional business to business (B2B) commerce heavily relies on the establishment of robust relationships, trust, and credit arrangements between buyers and sellers.

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

1 code implementation • 1 Aug 2022 • Rohitash Chandra, Chaarvi Bansal, Mingyue Kang, Tom Blau, Vinti Agarwal, Pranjal Singh, Laurence O. W. Wilson, Seshadri Vasan

This paper presents a framework that utilizes unsupervised machine learning methods to discriminate and visualize the associations between major COVID-19 variants based on their genome sequences.

BIG-bench Machine Learning Clustering +1

Words are not Equal: Graded Weighting Model for building Composite Document Vectors

no code implementations • WS 2015 • Pranjal Singh, Amitabha Mukerjee

Further, combining such approaches into an ensemble based on alternate classifiers such as the RNN model, results in an 1. 6% performance improvement on the standard IMDB movie review dataset, and a 7. 01% improvement on Amazon product reviews.

Sentiment Analysis Sentiment Classification