Automated model to rank candidates for a job position based on data extracted from LinkedIn profiles

Automated model to rank candidates for a job position based on data extracted from LinkedIn profiles

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Nadia, Mouri Hoque
مؤلفون آخرون:	Rabiul Alam, Md.Golam
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2024
الموضوعات:	Recruitment LinkedIn Ranking candidates XGBoost Topsis NLP NER BERT VADER Sentence summarization Sentence scoring Sentiment analysis Automatic data collection systems.
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/23595

مواد مشابهة

LinkedIn as the upcoming recruitment tool and top management, graduates and student’s exposure to LinkedIn in Bangladesh
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Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
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Influential user mining for viral and target marketing in social network through PageRank and Bayesian inference
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Overall marketing strategy of Link3 Technologies Ltd.
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