Analyzing job advertisements and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with CAO
In a competitive job market, it is imperative that people continuously stay relevant to employers. This is especially important for fresh graduates with minimal working experience, and for workers in sunsetting industries, such as traditional print media and Landline telephone services. Efforts have...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/176650 |
| _version_ | 1826112473003982848 |
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| author | Dinglasan, Cris Anthony Sarmiento |
| author2 | S Supraja |
| author_facet | S Supraja Dinglasan, Cris Anthony Sarmiento |
| author_sort | Dinglasan, Cris Anthony Sarmiento |
| collection | NTU |
| description | In a competitive job market, it is imperative that people continuously stay relevant to employers. This is especially important for fresh graduates with minimal working experience, and for workers in sunsetting industries, such as traditional print media and Landline telephone services. Efforts have been made by the Government of Singapore to facilitate this upskilling and reskilling amongst Singaporeans through their support of the SkillsFuture Movement.
This collaborative project aims to leverage NLP techniques and ML to analyse job advertisements and skill descriptions to help determine which skills are the most relevant for specific industries and occupations. In doing so, we hope to help equip the people in the workforce with the ability to find jobs more relevant to their skills, as well as allow them to learn what skills to develop to help them reach their career goals.
My contribution to the project involves the cleaning and preprocessing of data provided by NTU's CAO, and other publicly available sources, to prepare them for use in training an ML model to determine, from a job description, what hard and soft skills are needed to perform that job, and then create a front-end user interface for visualizing and interacting with our findings. |
| first_indexed | 2024-10-01T03:07:35Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/176650 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:07:35Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1766502024-05-24T15:49:21Z Analyzing job advertisements and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with CAO Dinglasan, Cris Anthony Sarmiento S Supraja School of Electrical and Electronic Engineering supraja.s@ntu.edu.sg Engineering Natural language processing Machine learning Job descriptions Employment In a competitive job market, it is imperative that people continuously stay relevant to employers. This is especially important for fresh graduates with minimal working experience, and for workers in sunsetting industries, such as traditional print media and Landline telephone services. Efforts have been made by the Government of Singapore to facilitate this upskilling and reskilling amongst Singaporeans through their support of the SkillsFuture Movement. This collaborative project aims to leverage NLP techniques and ML to analyse job advertisements and skill descriptions to help determine which skills are the most relevant for specific industries and occupations. In doing so, we hope to help equip the people in the workforce with the ability to find jobs more relevant to their skills, as well as allow them to learn what skills to develop to help them reach their career goals. My contribution to the project involves the cleaning and preprocessing of data provided by NTU's CAO, and other publicly available sources, to prepare them for use in training an ML model to determine, from a job description, what hard and soft skills are needed to perform that job, and then create a front-end user interface for visualizing and interacting with our findings. Bachelor's degree 2024-05-20T00:42:13Z 2024-05-20T00:42:13Z 2024 Final Year Project (FYP) Dinglasan, C. A. S. (2024). Analyzing job advertisements and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with CAO. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176650 https://hdl.handle.net/10356/176650 en A3273-231 application/pdf Nanyang Technological University |
| spellingShingle | Engineering Natural language processing Machine learning Job descriptions Employment Dinglasan, Cris Anthony Sarmiento Analyzing job advertisements and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with CAO |
| title | Analyzing job advertisements and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with CAO |
| title_full | Analyzing job advertisements and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with CAO |
| title_fullStr | Analyzing job advertisements and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with CAO |
| title_full_unstemmed | Analyzing job advertisements and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with CAO |
| title_short | Analyzing job advertisements and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with CAO |
| title_sort | analyzing job advertisements and skill descriptions using nlp techniques part 1 data cleaning and pre processing and part 4 front end visualization user interface collaboration with cao |
| topic | Engineering Natural language processing Machine learning Job descriptions Employment |
| url | https://hdl.handle.net/10356/176650 |
| work_keys_str_mv | AT dinglasancrisanthonysarmiento analyzingjobadvertisementsandskilldescriptionsusingnlptechniquespart1datacleaningandpreprocessingandpart4frontendvisualizationuserinterfacecollaborationwithcao |