| Popis: |
—Resume sorting using machine learning algorithm is a research paper that proposes a naturallanguage processing (NLP) based approach for resume sorting. The goal of the proposed system is to automatically extract relevant information from resumes and use it to classify them into various categories.The paper presents a three-stage approach,whichincludes preprocessing, feature extraction, and classification. In the preprocessing stage, the raw text data is cleaned, and irrelevant information is removed. In the feature extraction stage, various features such as skills, experience,education, and contact information are extracted using NLP techniques. Finally, in the classification stage, a machine learning algorithm is used to classify the resumes into various categories based on the extracted features.The proposed system is evaluated on a datasetof resumes, and the results show that the system is able to classify the resumes witha desiredaccuracy . The paper also compares the proposed system with existing resume sorting systems and shows that the proposed system outperforms them in terms of accuracy. |
