Analysis Of Skill Demand In Thai Labor Market From Online Jobs Recruitments Websites

Phaphuangwittayakul, Aniwat; Saranwong, Supalin; Panyakaew, Sa-Ngapong; Inkeaw, Papangkorn; Chaijaruwanich, Jeerayut

doi:10.1109/jcsse.2018.8457393

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…The proposed resume parsing and job suggestion system utilizes a Natural Language Processing that involves various tasks such as extracting information from resumes [1], performing web scraping on job portals [6] (Naukri and Monster Jobs), and creating a Flask web application for uploading resumes and matching skills [3] with job listings. Additionally, code snippets included for extracting job details from various websites, and appropriate job suggestions are made by this system.…”

Section: Methodsmentioning

confidence: 99%

“…For this we implement to retrieve data about job vacancy information with regular expression method and build a web-based information system to display data obtained from web scraping. The paper [3], explores the skills demand in market from job recruitment websites which contributes job's information by different job companies. Skill mismatch becomes a major problem.…”

Section: Literature Survey " Resume Parsing Frame Work For E-recruitm...mentioning

confidence: 99%

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Resume Parsing and Job Suggestion System With Natural Language Processing

2024

IRJMETS

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With the increasing use of online recruiting platforms, job seekers submit their resumes through a web portal to apply for positions. Candidates participate in large numbers due to internet-based recruiting platforms, which makes it challenging for recruiters to sift through candidates for the required post. It can be challenging for recruiters to find the best candidate for a given position because of the variations in the format of the resumes that candidates submit, including differences in font, color, and size. Natural language processing, or NLP, helps to resolve these problems and helps hiring managers obtain the thorough applicant data required to promote candidates. In this work, we propose to employ named entity recognition to retrieve practical hiring process information from the Stanford Core NLP system. In addition, a resume genre-such as business development, statistics, computer science, or another-is allocated to the applicant depending on their skill set. In this research, we propose to construct an intelligent resume parser system that can filter the right candidates for the required job role by turning unstructured data into a structured format.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Survey " Resume Parsing Frame Work For E-recruitm...mentioning

confidence: 99%

Resume Parsing and Job Suggestion System With Natural Language Processing

2024

IRJMETS

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“…The joint study of the World Bank and the International Labor Organization (2013) also revealed that 36% of firms reported the lack of pertinent skills as the main reason to fill vacancies. Likewise, it points to the findings of Phaphuangwittayakul et al (2018) that many graduate students do not have the necessary skills required by the employers.…”

Section: Difference In the Level Of Implementation Of Special Employment Servicesmentioning

confidence: 98%

“…Phaphuangwittayakul et al (2018) that many graduate students do not have the necessary skills required by the employees.…”

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confidence: 99%

Implementation of Public Employment Services in a Philippine Local Government Unit

Bachita

Bayoneta²

2021

PSSJ

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The Public Employment Service Office is responsible for implementing labor market programs to promote full employment and equality of employment services. This study assessed the level of implementation of the services of the public employment service office of a component city in the areas of local employment in terms of labor market information, referral and placement, career and employment coaching, provision of livelihood and employment programs, and special employment in terms of reintegration assistance, employability enhancement, pre-employment counseling, and other services as assessed by local and overseas jobseekers and local business and overseas employment agencies. It also investigated the challenges encountered by the respondents in availing these services. This descriptive-comparative study used a researcher-made survey instrument administered to randomly selected local and overseas job seekers and local and overseas business and employment agencies. Using descriptive and inferential analyses, the study yielded a very high level of implementation which implies that the services by the PESO promoted job generation and addressed unemployment although, a significant difference was revealed in the implementation of labor market information and self-employment programs and services. The study recommended the enactment of local laws to enhance employment facilitation.

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Understanding the requirements Of the Indian IT industry using web scrapping

Pillai

Amin

2020

Procedia Computer Science

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Analysis Of Skill Demand In Thai Labor Market From Online Jobs Recruitments Websites

Cited by 5 publications

References 15 publications

Resume Parsing and Job Suggestion System With Natural Language Processing

Resume Parsing and Job Suggestion System With Natural Language Processing

Implementation of Public Employment Services in a Philippine Local Government Unit

Understanding the requirements Of the Indian IT industry using web scrapping

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