Analyzing Cybersecurity Job Market Needs in Morocco by Mining Job Ads

Rahhal, Ibrahim; Makdoun, Ibtissam; Mezzour, Ghita; Khaouja, Imane; Carley, Kathleen M.; Kassou, Ismail

doi:10.1109/educon.2019.8725033

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…In order to build our job title identification system, we collected job postings in French from different websites. These websites were identified using Optioncarriere.ma, which is a job aggregator that contains the most frequently used websites for job ads in Morocco [34], [35]. Since we are interested in all occupations, we did not have to add any filters to the URL; we just insert the domain name of the website and specify the section related to job offers.…”

Section: Data Collection and Pre-processing A Collection Of Job Adsmentioning

confidence: 99%

Two Stage Job Title Identification System for Online Job Advertisements

et al. 2023

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Data science techniques are powerful tools for extracting knowledge from large datasets. Analyzing the job market by classifying online job advertisements (ads) has recently received much attention. Various approaches for multi-label classification (e.g., self-supervised learning and clustering) have been developed to identify the occupation from a job advertisement and have achieved a satisfying performance. However, these approaches require labeled datasets with hundreds of thousands of examples and focus on specific databases such as the Occupational Information Network (O*NET) that are more adapted to the US job market. In this paper, we present a two-stage job title identification methodology to address the case of small datasets. We use Bidirectional Encoder Representations from Transformers (BERT) to first classify the job ads according to their corresponding sector (e.g., Information Technology, Agriculture). Then, we use unsupervised machine learning algorithms and some similarity measures to find the closest matching job title from the list of occupations within the predicted sector. We also propose a novel document embedding strategy to address the issues of processing and classifying job ads. Our experimental results show that the proposed two-stage approach improves the job title identification accuracy by 14% to achieve more than 85% in some sectors. Moreover, we found that incorporating document embedding-based approaches such as weighting strategies and noise removal improves the classification accuracy by 23.5% compared to approaches based on the Bag of words model. Further evaluations verify that the proposed methodology either outperforms or performs at least as well as the state-of-the-art methods. Applying the proposed methodology to Moroccan job market data has helped identify emerging and high-demand occupations in Morocco.

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Section: Data Collection and Pre-processing A Collection Of Job Adsmentioning

confidence: 99%

Two Stage Job Title Identification System for Online Job Advertisements

et al. 2023

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“…All these jobs advertisements are limited to various locations of India as we have only considered the Indian market [30]. We have broad categories the list of skills into eight crucial skills that are: designing, customer management, analytics, communication skills, strategy, promotion, content management, management and organization [31]. Content analysis is then performed over these extracted jobs ads, and then the data set is categorized into various subcategory skills keywords under the broad skills categories [32].…”

Section: Prior Literaturementioning

confidence: 99%

What Makes a Social Media Manager? Insights from the Content Analysis of Job Advertisements in India

Pharswan¹,

Ilavarasan²,

Kar³

2020

IFIP Advances in Information and Communication Technology

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With time, advent in technology and a sharp increase in internet penetration in India, there has been a dramatic change in the way we use social media from merely utilizing it for entertainment to businesses. As things currently stand in India, we cannot subvert and ignore the significant role social media is playing in developing and promoting the businesses. Consequently, the organizations either big or small trying to maintain their online presence over the various social media platforms in order to create customer base or communities across the platforms, brand awareness, customer engagement, promotions, and expanding their customer reach hence try to understand the various insights related to customer behaviour. For managing social media profile for an organization, a particular designation is purported as "Social Media Manager". In today's scenario with every company going digital, the requirement for social media managers has spiked in the last half-decade in every sector. As we go deeper, various questions arise then: what skillsets and prerequisite do a Social media manager requires? What specifically Social media manager do? To gain a better insight into current Social media manager status, our study reports on results obtained by performing content analysis over 200 Indian market job advertisements entailed "social media manager" keyword in the job title. Our finding indicates that there is an evolving requirement of Social media managers with great emphasis on Social media analytical skills followed by strategizing and promotional skills. Besides, customer management and content management also seem to be in demand. These findings may be valuable for fine-tuning Social media manager workability and also updating educational courses according to the current market trends.

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“…While most of the research manually conducted the qualitative coding to the text of job ads, a series of Morocco studies has made great efforts to automate the job ads analysis process by using text mining and big data technologies. [18][19][20] analyzed job ads for the cybersecurity job market, the Automotive job market and off-shore sector in Morocco. Keyword searches are used for attribute extraction.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The highlights of the three research can be stated as follows. [18] compared the skills extracted with the cybersecurity-specific curriculum, and found that the highly-requested skills are not emphasized in the curriculum, while the traditional skills taught regularly are less in demand. [19] not only detected skills required by the automotive industry but also creatively used a random forest algorithm to predict the salary of the job offers, where the existing job requirements and salary data are used for training the model.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying the Needs of Electric Power Industry through Online Job Ads: A Mixed-methods Approach

Yu,

Chai,

Ravishankar

2023 ASEE Annual Conference &Amp; Exposition Proceedings

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Hua Chai received his dual Bachelor's Degrees in both Electrical Engineering and Project Management from North China Electric Power University, China, in 2014. He received his Master's degree (Master of Philosophy) in Electrical Engineering at the University of New South Wales, Australia, in 2019. He is currently a Ph.D. student in the Energy Systems, School of Electrical Engineering and Telecommunications, UNSW. His research interests include power engineering education, curriculum design and development, and condition monitoring of power system equipment.

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Analyzing Cybersecurity Job Market Needs in Morocco by Mining Job Ads

Cited by 11 publications

References 5 publications

Two Stage Job Title Identification System for Online Job Advertisements

Two Stage Job Title Identification System for Online Job Advertisements

What Makes a Social Media Manager? Insights from the Content Analysis of Job Advertisements in India

Identifying the Needs of Electric Power Industry through Online Job Ads: A Mixed-methods Approach

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