Hybrid AI Talent Acquisition Model: An Opinion Mining and Topic based approach
- Title
- Hybrid AI Talent Acquisition Model: An Opinion Mining and Topic based approach
- Creator
- Jas D.; Antony A.C.; Saxena A.; Sharma M.; Gupta S.
- Description
- Artificial Intelligence models have found their usage in the human resource domain. In this paper, job reviewers' opinions on online discussion boards have been captured. The relative importance of factors has been established through an extensive literature review. First, LDA Topic modelling by adopting PCA is performed on unstructured text data has been analyzed. Second, sentiment analysis using the Li-Hu method has been employed to understand job seekers' satisfaction with job portals. The proposed model, 'Hybrid AI Talent Acquisition Model,' follows a novel approach to streamlining the jobseeker opinion related to online outlets. 2022 IEEE.
- Source
- 2022 2nd International Conference on Intelligent Technologies, CONIT 2022
- Date
- 2022-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Analytics; Artificial Intelligence; NLP; Sentiment Analysis; Topic modelling
- Coverage
- Jas D., Christ University, India; Antony A.C., Christ University, India; Saxena A., Christ University, India; Sharma M., Christ University, India; Gupta S., Christ University, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-166548407-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Jas D.; Antony A.C.; Saxena A.; Sharma M.; Gupta S., “Hybrid AI Talent Acquisition Model: An Opinion Mining and Topic based approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20263.