{"id":1925,"date":"2019-10-22T18:32:10","date_gmt":"2019-10-22T16:32:10","guid":{"rendered":"https:\/\/supperundsupper.com\/portfolio-item\/natural-language-processing-applied-on-a-job-platform\/"},"modified":"2023-05-08T15:06:09","modified_gmt":"2023-05-08T13:06:09","slug":"nlp-job-plattform","status":"publish","type":"avada_portfolio","link":"https:\/\/supperundsupper.com\/en\/usecases\/nlp-job-plattform","title":{"rendered":"Natural Language Processing applied on a job platform"},"content":{"rendered":"

<\/div><\/div><\/span>

Natural Language Processing applied on a job platform<\/h1><\/span>
<\/div><\/div><\/div>

a Supper & Supper Use Case<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

<\/span><\/div>

<\/i><\/i><\/span>Project Goal<\/span><\/a><\/h4><\/div>
\n
The aim of the project was to develop a model that extracts information of occupational fields and employees\u2019 skills according to job advertisements from a job platform.<\/div>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Dataset used<\/span><\/a><\/h4><\/div>
\n

The project is based on a data set of posted job announcements obtained by the web crawling.<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Challenges<\/span><\/a><\/h4><\/div>
\n

A lot of job platforms prohibit web crawling. Additionally, the used portal made permanently changes of a source code what interferes crawling as well.<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Applied Methods (Implementation)<\/span><\/a><\/h4><\/div>
\n

A structured data set contained descriptions of positions, names of companies, locations and dates of publication was created by the Python-based web crawler. The database was available for download as a CSV file.<\/p>\n

The occupational fields and skills were labeled with the help of the Dataturks tool and downloaded as a JSON format.<\/p>\n

<\/a><\/span><\/div>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Project outcome <\/span><\/a><\/h4><\/div>
\n

The obtained results are presented in a user-friendly dashboard. The user can select a company, skills or occupational fields depending on individual needs. Filtering by companies will provide a diagram where sizes of rectangles correspond to the number of opened positions in that company.<\/p>\n

By selecting a specific skill or experience, a relational amount of opened positions in all companies will be displayed. Further analysis as combined skills can be carried out as well.<\/p>\n

The created algorithm can be extended to scan the huge amount of candidates resumes a company obtains.<\/p>\n

The results presents a solution to economize companies\u2019 resources for market research.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

<\/div>

\u2190 back to use case overview<\/a><\/p>\n<\/div>

<\/div><\/div><\/div>

Category<\/h3><\/div>

\u2192 NLP<\/p>\n<\/div>

<\/div><\/div>

Technologies<\/h3><\/div>

Webcrawling
\nNatural Language Processing
\nDeep Learning
\nPower BI<\/p>\n<\/div>

<\/div><\/div>

Download<\/h3><\/div>
<\/i>Use Case (long Version)<\/span><\/a><\/div>
<\/div><\/div>

Social Sharing<\/h3><\/div>
<\/i><\/a><\/span><\/i><\/a><\/span><\/i><\/a><\/span><\/div><\/div><\/div><\/div><\/div><\/div>
<\/div><\/div><\/span>

Other Use Cases in this category<\/h2><\/span>
<\/div><\/div><\/div><\/div><\/div><\/div><\/div>