An Explainable NLP-Based Framework for Placement Email Understanding using TF-IDF and Linear SVM

Abstract In today’s placement and recruitment environment, students receive a large number of emails containing important information related to hiring processes, assessment schedules, and job role requirements. Identifying relevant placement emails within this continuous stream remains a challenging and time-consuming task for many students. To address this problem, this paper presents an automated and explainable placement email classification framework built using core Natural Language Proces