TY - GEN
T1 - Automated Resume Classification Using Machine Learning
AU - Roy, Pradeep Kumar
AU - Singh, Sunil Kumar
AU - Das, Tapan Kumar
AU - Tripathy, Asis Kumar
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - One of the current job recruiter’s biggest challenges is to filter the right candidate’s resume over the pool of resumes. For a single job post, many times more than thousands of applicants send their resumes. However, many of them are not suitable for the offered job. Manually filtering the right candidate’s resume is not feasible from the pool; hence, an automated system may help pick the selective candidate’s resume by applying natural language processing. This research suggested a machine learning-based automated resume classification model which classifies the resume into different categories based on their content. The experiment is done with the dataset consisting of ten categories of resumes. The outcomes of the proposed model achieve satisfactory classification reports in terms of precision, recall and F1-score with bi-gram model.
AB - One of the current job recruiter’s biggest challenges is to filter the right candidate’s resume over the pool of resumes. For a single job post, many times more than thousands of applicants send their resumes. However, many of them are not suitable for the offered job. Manually filtering the right candidate’s resume is not feasible from the pool; hence, an automated system may help pick the selective candidate’s resume by applying natural language processing. This research suggested a machine learning-based automated resume classification model which classifies the resume into different categories based on their content. The experiment is done with the dataset consisting of ten categories of resumes. The outcomes of the proposed model achieve satisfactory classification reports in terms of precision, recall and F1-score with bi-gram model.
UR - https://www.scopus.com/pages/publications/85136090551
UR - https://www.scopus.com/pages/publications/85136090551#tab=citedBy
U2 - 10.1007/978-981-19-1018-0_26
DO - 10.1007/978-981-19-1018-0_26
M3 - Conference contribution
AN - SCOPUS:85136090551
SN - 9789811910173
T3 - Lecture Notes in Networks and Systems
SP - 307
EP - 316
BT - Advances in Distributed Computing and Machine Learning - Proceedings of ICADCML 2022
A2 - Rout, Rashmi Ranjan
A2 - Ghosh, Soumya Kanti
A2 - Jana, Prasanta K.
A2 - Tripathy, Asis Kumar
A2 - Sahoo, Jyoti Prakash
A2 - Li, Kuan-Ching
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Advances in Distributed Computing and Machine Learning, ICADCML 2022
Y2 - 15 January 2022 through 16 January 2022
ER -