Break Down Resumes into Sections to Extract Data and Perform Text Analysis using Python

The objective of AI-based resume screening is to automate the process, and text, keyword, named entity recognition extraction are critical. This paper discusses segmenting resumes in order extract data perform text analysis. raw CV file has been imported, cleaned remove extra spaces, punctuation stop words. To names from resumes, regular expressions used. We have also used spaCy library which considered most accurate natural language processing library. It includes already-trained models for recognition, parsing, tagging. experimental method with sourced Kaggle, external Source (MTIS).