Naman Jain

Introduces a large-scale dataset that includes temporal information of citation/tweets and metadata of tweets to quantify and understand the discourse of scientific papers on social media.

A dataset for visual plant disease detection containing 2,598 data points across 13 plant species and up to 17 classes of diseases, with approximately 300 human hours of annotation.

Proposes a completely automatic portal for indexing, searching, and visualizing Natural Language Processing research volume, and presents insights from papers, authors, venues, and topics.

An agricultural chatbot based on the dataset from Kisan Call Center, designed to answer queries related to weather, market rates, plant protection, and government schemes.

A data-driven approach to study how potential predatory publishers are evolving and bypassing several regularity constraints.