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Resume content scoring and improvement suggestions using nlp and rule-based techniques

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dc.contributor.author Weerasinghe, RL
dc.contributor.author Perera, NN
dc.contributor.author Warusawithana, SP
dc.contributor.author Hindakaraldeniya, TM
dc.contributor.author Ganegoda, GU
dc.contributor.editor Piyatilake, ITS
dc.contributor.editor Thalagala, PD
dc.contributor.editor Ganegoda, GU
dc.contributor.editor Thanuja, ALARR
dc.contributor.editor Dharmarathna, P
dc.date.accessioned 2024-02-06T08:33:55Z
dc.date.available 2024-02-06T08:33:55Z
dc.date.issued 2023-12-07
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22193
dc.description.abstract Having a proper resume is very important for undergraduates or fresh graduates to find their dream job. But most of them find it difficult to prepare their resume properly by themselves. It often needs a third party to review the resume to identify missing parts and content improvements of the resume because most of the time candidates make some mistakes. When it comes to resume review systems, most of the systems are based on the recruiter perspective which does not provide any insights for the candidate to improve their resumes. Hence, it is helpful if a proper resume content reviewer is there for candidates to analyze their resumes. This study is focused on developing a model to resume content scoring and suggest missing content based on NLP and rule-based techniques. Two separate approaches were developed and tested for the proposed system and then the comparison of those approaches were carried out through this study. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.subject Resume content scoring en_US
dc.subject Missing content suggestion en_US
dc.subject NLP en_US
dc.subject Rule-based Techniques en_US
dc.title Resume content scoring and improvement suggestions using nlp and rule-based techniques en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2023 en_US
dc.identifier.conference 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 1-6 en_US
dc.identifier.proceeding Proceedings of the 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.email reshakalakshan@gmail.com en_US
dc.identifier.email nimnaperera98@gmail.com en_US
dc.identifier.email supunawa@gmail.com en_US
dc.identifier.email tharumadurangi97@gmail.com en_US
dc.identifier.email upekshag@uom.lk en_US


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  • ICITR - 2023 [47]
    International Conference on Information Technology Research (ICITR)

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